diff --git a/Dockerfile b/Dockerfile
index 8470039..68457a2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -13,5 +13,7 @@ ENV PYTHONDONTWRITEBYTECODE 1
 # Don't buffer stdout and stderr
 ENV PYTHONUNBUFFERED 1
 COPY . .
+COPY Pipfile Pipfile.lock /app/
+COPY .env /app/.env
 RUN pip install --upgrade pip pipenv
 RUN pipenv install --deploy --system
\ No newline at end of file
diff --git a/Pipfile b/Pipfile
index 4d7e786..91f12ac 100644
--- a/Pipfile
+++ b/Pipfile
@@ -27,6 +27,7 @@ sphinx-autodoc-typehints = "*"
 sphinx-rtd-theme = "*"
 autodoc-pydantic = "*"
 sentry-sdk = {version = "*", extras = ["fastapi"]}
+email-validator = "*"
 
 [dev-packages]
 pytest = "*"
diff --git a/Pipfile.lock b/Pipfile.lock
index 121c2bd..8e4a3d8 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "0d9a795c147257e4fb9ea774b2d75dfc675253c1d49768968afe341d4857f609"
+            "sha256": "bfa6bb56fdf6e8ac0ba5610121f45f7811cd40eecb47de4d99d02c1b759a1d5d"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -18,19 +18,19 @@
     "default": {
         "alabaster": {
             "hashes": [
-                "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65",
-                "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"
+                "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e",
+                "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b"
             ],
-            "markers": "python_version >= '3.9'",
-            "version": "==0.7.16"
+            "markers": "python_version >= '3.10'",
+            "version": "==1.0.0"
         },
         "amqp": {
             "hashes": [
-                "sha256:827cb12fb0baa892aad844fd95258143bce4027fdac4fccddbc43330fd281637",
-                "sha256:a1ecff425ad063ad42a486c902807d1482311481c8ad95a72694b2975e75f7fd"
+                "sha256:43b3319e1b4e7d1251833a93d672b4af1e40f3d632d479b98661a95f117880a2",
+                "sha256:cddc00c725449522023bad949f70fff7b48f0b1ade74d170a6f10ab044739432"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==5.2.0"
+            "version": "==5.3.1"
         },
         "annotated-types": {
             "hashes": [
@@ -42,60 +42,58 @@
         },
         "anyio": {
             "hashes": [
-                "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94",
-                "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"
+                "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a",
+                "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==4.4.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==4.8.0"
         },
         "async-timeout": {
             "hashes": [
-                "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f",
-                "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"
+                "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c",
+                "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"
             ],
             "markers": "python_full_version < '3.11.3'",
-            "version": "==4.0.3"
+            "version": "==5.0.1"
         },
         "autodoc-pydantic": {
             "hashes": [
                 "sha256:8c6a36fbf6ed2700ea9c6d21ea76ad541b621fbdf16b5a80ee04673548af4d95"
             ],
             "index": "pypi",
-            "markers": "python_full_version >= '3.8.1' and python_full_version < '4.0.0'",
             "version": "==2.2.0"
         },
         "babel": {
             "hashes": [
-                "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb",
-                "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"
+                "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b",
+                "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2.15.0"
+            "version": "==2.16.0"
         },
         "billiard": {
             "hashes": [
-                "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d",
-                "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"
+                "sha256:12b641b0c539073fc8d3f5b8b7be998956665c4233c7c1fcd66a7e677c4fb36f",
+                "sha256:40b59a4ac8806ba2c2369ea98d876bc6108b051c227baffd928c644d15d8f3cb"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==4.2.0"
+            "version": "==4.2.1"
         },
         "boto3": {
             "hashes": [
-                "sha256:445239ea2ba7f4084ddbd71f721c14d0a6d08e06f6ba51b5403a16b6544b3f1e",
-                "sha256:e8d2e128c74e84199edccdc3a6b4b1c6fb36d6fdb5688eb92931827f02c6fa5b"
+                "sha256:4b6274b4fe9d7113f978abea66a1f20c8a397c268c9d1b2a6c96b14a256da4a5",
+                "sha256:d0224e1499d7189b47aa7f469d96522d98df6f5702fccb20a95a436582ebcd9d"
             ],
             "index": "pypi",
-            "markers": "python_version >= '3.8'",
-            "version": "==1.34.155"
+            "version": "==1.35.98"
         },
         "botocore": {
             "hashes": [
-                "sha256:3aa88abfef23909f68d3e6679a3d4b4bb3c6288a6cfbf9e253aa68dac8edad64",
-                "sha256:f2696c11bb0cad627d42512937befd2e3f966aedd15de00d90ee13cf7a16b328"
+                "sha256:4f1c0b687488663a774ad3a5e81a5f94fae1bcada2364cfdc48482c4dbf794d5",
+                "sha256:d11742b3824bdeac3c89eeeaf5132351af41823bbcef8fc15e95c8250b1de09c"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.34.155"
+            "version": "==1.35.98"
         },
         "celery": {
             "extras": [
@@ -105,120 +103,122 @@
                 "sha256:369631eb580cf8c51a82721ec538684994f8277637edde2dfc0dacd73ed97f64",
                 "sha256:504a19140e8d3029d5acad88330c541d4c3f64c789d85f94756762d8bca7e706"
             ],
-            "markers": "python_version >= '3.8'",
+            "index": "pypi",
             "version": "==5.4.0"
         },
         "certifi": {
             "hashes": [
-                "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b",
-                "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"
+                "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56",
+                "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==2024.7.4"
+            "version": "==2024.12.14"
         },
         "charset-normalizer": {
             "hashes": [
-                "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027",
-                "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087",
-                "sha256:0a55554a2fa0d408816b3b5cedf0045f4b8e1a6065aec45849de2d6f3f8e9786",
-                "sha256:0b2b64d2bb6d3fb9112bafa732def486049e63de9618b5843bcdd081d8144cd8",
-                "sha256:10955842570876604d404661fbccbc9c7e684caf432c09c715ec38fbae45ae09",
-                "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185",
-                "sha256:1ceae2f17a9c33cb48e3263960dc5fc8005351ee19db217e9b1bb15d28c02574",
-                "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e",
-                "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519",
-                "sha256:2127566c664442652f024c837091890cb1942c30937add288223dc895793f898",
-                "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269",
-                "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3",
-                "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f",
-                "sha256:3287761bc4ee9e33561a7e058c72ac0938c4f57fe49a09eae428fd88aafe7bb6",
-                "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8",
-                "sha256:37e55c8e51c236f95b033f6fb391d7d7970ba5fe7ff453dad675e88cf303377a",
-                "sha256:3d47fa203a7bd9c5b6cee4736ee84ca03b8ef23193c0d1ca99b5089f72645c73",
-                "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc",
-                "sha256:42cb296636fcc8b0644486d15c12376cb9fa75443e00fb25de0b8602e64c1714",
-                "sha256:45485e01ff4d3630ec0d9617310448a8702f70e9c01906b0d0118bdf9d124cf2",
-                "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc",
-                "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce",
-                "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d",
-                "sha256:549a3a73da901d5bc3ce8d24e0600d1fa85524c10287f6004fbab87672bf3e1e",
-                "sha256:55086ee1064215781fff39a1af09518bc9255b50d6333f2e4c74ca09fac6a8f6",
-                "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269",
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-                "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d",
-                "sha256:6463effa3186ea09411d50efc7d85360b38d5f09b870c48e4600f63af490e56a",
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-                "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"
+                "sha256:0167ddc8ab6508fe81860a57dd472b2ef4060e8d378f0cc555707126830f2537",
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+                "sha256:0907f11d019260cdc3f94fbdb23ff9125f6b5d1039b76003b5b0ac9d6a6c9d5b",
+                "sha256:0924e81d3d5e70f8126529951dac65c1010cdf117bb75eb02dd12339b57749dd",
+                "sha256:09b26ae6b1abf0d27570633b2b078a2a20419c99d66fb2823173d73f188ce601",
+                "sha256:09b5e6733cbd160dcc09589227187e242a30a49ca5cefa5a7edd3f9d19ed53fd",
+                "sha256:0af291f4fe114be0280cdd29d533696a77b5b49cfde5467176ecab32353395c4",
+                "sha256:0f55e69f030f7163dffe9fd0752b32f070566451afe180f99dbeeb81f511ad8d",
+                "sha256:1a2bc9f351a75ef49d664206d51f8e5ede9da246602dc2d2726837620ea034b2",
+                "sha256:22e14b5d70560b8dd51ec22863f370d1e595ac3d024cb8ad7d308b4cd95f8313",
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             ],
-            "markers": "python_full_version >= '3.7.0'",
-            "version": "==3.3.2"
+            "markers": "python_version >= '3.7'",
+            "version": "==3.4.1"
         },
         "click": {
             "hashes": [
-                "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28",
-                "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"
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             ],
             "markers": "python_version >= '3.7'",
-            "version": "==8.1.7"
+            "version": "==8.1.8"
         },
         "click-didyoumean": {
             "hashes": [
@@ -249,9 +249,16 @@
                 "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"
             ],
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-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
             "version": "==15.0.1"
         },
+        "dnspython": {
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+            ],
+            "markers": "python_version >= '3.9'",
+            "version": "==2.7.0"
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             "hashes": [
                 "sha256:49b3a825280bd66b3aa83585ef59c4a8c82f2c8a522dbe754a8bc8d08c85c491"
@@ -260,11 +267,19 @@
         },
         "docutils": {
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-                "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"
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-            "markers": "python_version >= '3.7'",
-            "version": "==0.20.1"
+            "markers": "python_version >= '3.9'",
+            "version": "==0.21.2"
+        },
+        "email-validator": {
+            "hashes": [
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@@ -276,12 +291,11 @@
         },
         "fastapi": {
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-            "markers": "python_version >= '3.8'",
-            "version": "==0.112.0"
+            "version": "==0.115.6"
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@@ -289,7 +303,6 @@
                 "sha256:9db2c621eeefbc844c8dd88be64aef61e84e2deb29b271e02ab2b5b9f01068e2"
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-            "markers": "python_version >= '3.7'",
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@@ -302,44 +315,51 @@
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+            "version": "==0.6.4"
         },
         "humanfriendly": {
             "hashes": [
@@ -351,19 +371,19 @@
         },
         "humanize": {
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-            "markers": "python_version >= '3.8'",
-            "version": "==4.10.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==4.11.0"
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-            "markers": "python_version >= '3.5'",
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+            "version": "==3.10"
         },
         "imagesize": {
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@@ -383,11 +403,11 @@
         },
         "jinja2": {
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@@ -399,172 +419,195 @@
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         "pluggy": {
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@@ -576,19 +619,19 @@
         },
         "prometheus-client": {
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@@ -599,46 +642,51 @@
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@@ -646,154 +694,160 @@
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@@ -801,7 +855,6 @@
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@@ -888,10 +940,10 @@
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@@ -899,35 +951,34 @@
                 "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"
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@@ -946,30 +997,27 @@
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@@ -1029,54 +1077,82 @@
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@@ -1088,66 +1164,72 @@
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@@ -1773,27 +1846,27 @@
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@@ -1813,19 +1886,19 @@
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@@ -1840,32 +1913,31 @@
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@@ -2076,11 +2145,11 @@
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@@ -2092,19 +2161,19 @@
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@@ -2124,12 +2193,11 @@
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@@ -2149,11 +2217,11 @@
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@@ -2189,11 +2257,11 @@
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@@ -2205,42 +2273,42 @@
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@@ -2267,28 +2335,27 @@
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@@ -2300,11 +2367,11 @@
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@@ -2362,7 +2429,6 @@
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@@ -2480,22 +2546,6 @@
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@@ -2509,7 +2559,7 @@
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+                "sha256:feea821ee2a9273771bae61194004ee2fc33f8ec7db08117ef9147d4bbcbca8e"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==0.20.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==0.22.3"
         },
         "send2trash": {
             "hashes": [
@@ -2647,19 +2697,19 @@
         },
         "setuptools": {
             "hashes": [
-                "sha256:0274581a0037b638b9fc1c6883cc71c0210865aaa76073f7882376b641b84e8f",
-                "sha256:a85e96b8be2b906f3e3e789adec6a9323abf79758ecfa3065bd740d81158b11e"
+                "sha256:c5afc8f407c626b8313a86e10311dd3f661c6cd9c09d4bf8c15c0e11f9f2b0e6",
+                "sha256:e3982f444617239225d675215d51f6ba05f845d4eec313da4418fdbb56fb27e3"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==74.0.0"
+            "markers": "python_version >= '3.9'",
+            "version": "==75.8.0"
         },
         "six": {
             "hashes": [
-                "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
-                "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
+                "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274",
+                "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==1.16.0"
+            "version": "==1.17.0"
         },
         "sniffio": {
             "hashes": [
@@ -2694,51 +2744,81 @@
         },
         "tinycss2": {
             "hashes": [
-                "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d",
-                "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"
+                "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7",
+                "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==1.3.0"
+            "version": "==1.4.0"
         },
         "tokenize-rt": {
             "hashes": [
-                "sha256:b9711bdfc51210211137499b5e355d3de5ec88a85d2025c520cbb921b5194367",
-                "sha256:d4ff7ded2873512938b4f8cbb98c9b07118f01d30ac585a30d7a88353ca36d22"
+                "sha256:d706141cdec4aa5f358945abe36b911b8cbdc844545da99e811250c0cee9b6fc",
+                "sha256:e8ee836616c0877ab7c7b54776d2fefcc3bde714449a206762425ae114b53c86"
             ],
-            "version": "==6.0.0"
+            "version": "==6.1.0"
         },
         "tomli": {
             "hashes": [
-                "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc",
-                "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"
+                "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6",
+                "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd",
+                "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c",
+                "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b",
+                "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8",
+                "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6",
+                "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77",
+                "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff",
+                "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea",
+                "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192",
+                "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249",
+                "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee",
+                "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4",
+                "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98",
+                "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8",
+                "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4",
+                "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281",
+                "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744",
+                "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69",
+                "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13",
+                "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140",
+                "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e",
+                "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e",
+                "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc",
+                "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff",
+                "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec",
+                "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2",
+                "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222",
+                "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106",
+                "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272",
+                "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a",
+                "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7"
             ],
             "markers": "python_version < '3.11'",
-            "version": "==2.0.1"
+            "version": "==2.2.1"
         },
         "tomlkit": {
             "hashes": [
-                "sha256:08ad192699734149f5b97b45f1f18dad7eb1b6d16bc72ad0c2335772650d7b72",
-                "sha256:7075d3042d03b80f603482d69bf0c8f345c2b30e41699fd8883227f89972b264"
+                "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde",
+                "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==0.13.0"
+            "version": "==0.13.2"
         },
         "tornado": {
             "hashes": [
-                "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8",
-                "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f",
-                "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4",
-                "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3",
-                "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14",
-                "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842",
-                "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9",
-                "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698",
-                "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7",
-                "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d",
-                "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"
+                "sha256:072ce12ada169c5b00b7d92a99ba089447ccc993ea2143c9ede887e0937aa803",
+                "sha256:1a017d239bd1bb0919f72af256a970624241f070496635784d9bf0db640d3fec",
+                "sha256:2876cef82e6c5978fde1e0d5b1f919d756968d5b4282418f3146b79b58556482",
+                "sha256:304463bd0772442ff4d0f5149c6f1c2135a1fae045adf070821c6cdc76980634",
+                "sha256:908b71bf3ff37d81073356a5fadcc660eb10c1476ee6e2725588626ce7e5ca38",
+                "sha256:92bad5b4746e9879fd7bf1eb21dce4e3fc5128d71601f80005afa39237ad620b",
+                "sha256:932d195ca9015956fa502c6b56af9eb06106140d844a335590c1ec7f5277d10c",
+                "sha256:bca9eb02196e789c9cb5c3c7c0f04fb447dc2adffd95265b2c7223a8a615ccbf",
+                "sha256:c36e62ce8f63409301537222faffcef7dfc5284f27eec227389f2ad11b09d946",
+                "sha256:c82c46813ba483a385ab2a99caeaedf92585a1f90defb5693351fa7e4ea0bf73",
+                "sha256:e828cce1123e9e44ae2a50a9de3055497ab1d0aeb440c5ac23064d9e44880da1"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==6.4.1"
+            "version": "==6.4.2"
         },
         "traitlets": {
             "hashes": [
@@ -2750,18 +2830,18 @@
         },
         "types-python-dateutil": {
             "hashes": [
-                "sha256:9649d1dcb6fef1046fb18bebe9ea2aa0028b160918518c34589a46045f6ebd98",
-                "sha256:f5889fcb4e63ed4aaa379b44f93c32593d50b9a94c9a60a0c854d8cc3511cd57"
+                "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb",
+                "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"
             ],
             "markers": "python_version >= '3.8'",
-            "version": "==2.9.0.20240821"
+            "version": "==2.9.0.20241206"
         },
         "typing-extensions": {
             "hashes": [
                 "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d",
                 "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"
             ],
-            "markers": "python_version < '3.11'",
+            "markers": "python_version >= '3.8'",
             "version": "==4.12.2"
         },
         "uri-template": {
@@ -2773,11 +2853,11 @@
         },
         "urllib3": {
             "hashes": [
-                "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472",
-                "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"
+                "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df",
+                "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"
             ],
-            "markers": "python_version >= '3.8'",
-            "version": "==2.2.2"
+            "markers": "python_version >= '3.9'",
+            "version": "==2.3.0"
         },
         "wcwidth": {
             "hashes": [
@@ -2788,10 +2868,10 @@
         },
         "webcolors": {
             "hashes": [
-                "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d",
-                "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"
+                "sha256:515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9",
+                "sha256:ecb3d768f32202af770477b8b65f318fa4f566c22948673a977b00d589dd80f6"
             ],
-            "version": "==24.8.0"
+            "version": "==24.11.1"
         },
         "webencodings": {
             "hashes": [
@@ -2810,11 +2890,11 @@
         },
         "widgetsnbextension": {
             "hashes": [
-                "sha256:55d4d6949d100e0d08b94948a42efc3ed6dfdc0e9468b2c4b128c9a2ce3a7a36",
-                "sha256:8b22a8f1910bfd188e596fe7fc05dcbd87e810c8a4ba010bdb3da86637398474"
+                "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71",
+                "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"
             ],
             "markers": "python_version >= '3.7'",
-            "version": "==4.0.11"
+            "version": "==4.0.13"
         }
     }
 }
diff --git a/app/services/solr/validate/schema/validate.py b/app/services/solr/validate/schema/validate.py
index 73f2b00..639e3a6 100644
--- a/app/services/solr/validate/schema/validate.py
+++ b/app/services/solr/validate/schema/validate.py
@@ -1,125 +1,88 @@
 # pylint: disable=line-too-long, invalid-name, logging-fstring-interpolation
 """Validate transformation"""
 import logging
-from itertools import zip_longest
-from typing import KeysView, Literal
+from typing import Literal
 
-from pyspark.sql import DataFrame
+import pandas as pd
+from pydantic import BaseModel, ValidationError
+from pyspark.sql import DataFrame as SparkDataFrame
 
 logger = logging.getLogger(__name__)
 
 
 def validate_schema(
-    df: DataFrame,
-    expected_schema: dict[str, list[str] | str],
+    df: SparkDataFrame | pd.DataFrame,
+    pydantic_model: BaseModel,
     collection: str,
     source: Literal["input", "output"],
 ) -> None:
-    """Check whether pyspark dataframe data schema is the same as expected"""
-    # Assumption: schemas are sorted alphabetically
-    df = df.select(*sorted(df.columns))  # Sort pyspark dataframe
-    expected_schema = sort_dict_schemas(expected_schema)  # Sort expected schema
-
-    validate_column_names(df.columns, expected_schema.keys(), collection, source)
-    validate_column_types(df, expected_schema, collection, source)
+    """Validate DataFrame against the Pydantic model schema."""
+    if isinstance(df, SparkDataFrame):
+        validate_spark_schema(df, pydantic_model, collection, source)
+    elif isinstance(df, pd.DataFrame):
+        validate_pandas_schema(df, pydantic_model, collection, source)
+    else:
+        logger.warning("Unsupported DataFrame type: %s", type(df))
 
 
-def validate_column_names(
-    actual_columns: list[str],
-    expected_columns: KeysView[str],
-    collection: str,
-    source: Literal["input", "output"],
-) -> None:
-    """Validate that column names match"""
-    cols_diff = set(actual_columns) ^ set(expected_columns)
-    if cols_diff:
-        logger.warning(
-            f"{collection} - {source} schema validation failure. Column names mismatch. Difference: {cols_diff}"
-        )
+def validate_partition(partition, pydantic_model: BaseModel):
+    """Validate a partition of data against the Pydantic model."""
+    errors = set()
+    for row in partition:
+        try:
+            pydantic_model.parse_obj(row.asDict())
+        except ValidationError as e:
+            error_json = e.json()
+            errors.add(error_json)
+    return list(errors)
 
 
-def validate_column_types(
-    df: DataFrame,
-    expected_schema: dict[str, list[str] | str],
+def validate_spark_schema(
+    df: SparkDataFrame,
+    pydantic_model: BaseModel,
     collection: str,
     source: Literal["input", "output"],
 ) -> None:
-    """Validate that column types match"""
-    actual_types = [column.dataType.simpleString() for column in df.schema.fields]
-    differences = get_schema_differences(df.columns, actual_types, expected_schema)
-    if differences:
+    """Validate Spark DataFrame against Pydantic model schema."""
+    errors = df.rdd.mapPartitions(
+        lambda partition: validate_partition(partition, pydantic_model)
+    ).collect()
+
+    all_errors = [
+        err
+        for partition_errors in errors
+        for err in partition_errors
+        if partition_errors
+    ]
+
+    if all_errors:
+        unique_errors = list(set(all_errors))
         logger.warning(
-            f"{collection} - {source} schema validation failure. Column types mismatch. Differences: {differences}"
+            "%s - %s schema validation failure. Distinct validation errors: %s",
+            collection,
+            source,
+            unique_errors,
         )
 
 
-def validate_pd_schema(
-    df: DataFrame,
-    expected_schema: dict[str, list[str] | str],
-    collection: str,
-    source: Literal["input", "output"],
-) -> None:
-    """Validate Pandas schema"""
-    # Assumption: schemas are sorted alphabetically
-    df = df.reindex(sorted(df.columns), axis=1)  # Sort pandas df
-    expected_schema = sort_dict_schemas(expected_schema)  # Sort expected schema
-
-    validate_column_names(df.columns, expected_schema.keys(), collection, source)
-    validate_pd_column_types(df, expected_schema, collection, source)
-
-
-def validate_pd_column_types(
-    df: DataFrame,
-    expected_schema: dict[str, list[str] | str],
+def validate_pandas_schema(
+    df: pd.DataFrame,
+    pydantic_model: BaseModel,
     collection: str,
     source: Literal["input", "output"],
 ) -> None:
-    """Validate Pandas column types"""
-    actual_schema = get_pd_df_schema(df)
-    differences = get_schema_differences(
-        list(actual_schema.keys()), list(actual_schema.values()), expected_schema
-    )
-    if differences:
+    """Validate Pandas DataFrame against Pydantic model schema."""
+    errors = set()
+    for _, row in df.iterrows():
+        try:
+            pydantic_model.parse_obj(row.asDict())
+        except ValidationError as e:
+            errors.add(e.json())
+
+    if errors:
         logger.warning(
-            f"{collection} - {source} schema validation failure. Column types mismatch. Differences: {differences}"
+            "%s - %s schema validation failure. Validation errors: %s",
+            collection,
+            source,
+            errors,
         )
-
-
-def get_pd_df_schema(df: DataFrame) -> dict:
-    """Get Pandas data schema"""
-
-    def get_column_type(column):
-        for val in df[column]:
-            if val is not None:
-                return type(val).__name__
-        return "NoneType"  # If all values are None
-
-    return {col: get_column_type(col) for col in df.columns}
-
-
-def is_type_match(actual_type: str, expected_type: list[str] | str) -> bool:
-    """Check if the actual type matches the expected type(s)"""
-    if isinstance(expected_type, list):
-        return actual_type in expected_type or actual_type == "void"
-    else:
-        return actual_type == expected_type or actual_type == "void"
-
-
-def get_schema_differences(
-    columns: list[str],
-    actual_schema: list[str],
-    expected_schema: dict[str, list[str] | str],
-) -> dict[str, dict[str, list[str] | str]]:
-    """Print differences between schemas types"""
-    differences = {}
-
-    for col, actual_sch in zip_longest(columns, actual_schema):
-        expected_sch = expected_schema[col]
-        if not is_type_match(actual_sch, expected_sch):
-            differences[col] = {"ACTUAL": actual_sch, "EXPECTED": expected_sch}
-    return differences
-
-
-def sort_dict_schemas(expected_schema: dict) -> dict:
-    """Sort expected dict schema"""
-    return {k: expected_schema[k] for k in sorted(expected_schema)}
diff --git a/app/settings.py b/app/settings.py
index 2fc2d30..13123b4 100644
--- a/app/settings.py
+++ b/app/settings.py
@@ -8,8 +8,8 @@
 from pydantic import AnyUrl
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
-from schemas.old.input import *
-from schemas.old.output import *
+from schemas.db import *
+from schemas.input import *
 
 logger = logging.getLogger(__name__)
 EnvironmentType = Literal["dev", "test", "production"]
@@ -210,73 +210,73 @@ def get_collections_config(self) -> dict:
         collections = {
             self.SOFTWARE: {
                 PATH: self.SOFTWARE_PATH,
-                OUTPUT_SCHEMA: software_output_schema,
-                INPUT_SCHEMA: software_input_schema,
+                OUTPUT_SCHEMA: SoftwareDBSchema,
+                INPUT_SCHEMA: SoftwareInputSchema,
             },
             self.OTHER_RP: {
                 PATH: self.OTHER_RP_PATH,
-                OUTPUT_SCHEMA: other_rp_output_schema,
-                INPUT_SCHEMA: other_rp_input_schema,
+                OUTPUT_SCHEMA: OtherRPDBSchema,
+                INPUT_SCHEMA: OtherRPInputSchema,
             },
             self.DATASET: {
                 PATH: self.DATASET_PATH,
-                OUTPUT_SCHEMA: dataset_output_schema,
-                INPUT_SCHEMA: dataset_input_schema,
+                OUTPUT_SCHEMA: DatasetDBSchema,
+                INPUT_SCHEMA: DatasetInputSchema,
             },
             self.PUBLICATION: {
                 PATH: self.PUBLICATION_PATH,
-                OUTPUT_SCHEMA: publication_output_schema,
-                INPUT_SCHEMA: publication_input_schema,
+                OUTPUT_SCHEMA: PublicationDBSchema,
+                INPUT_SCHEMA: PublicationInputSchema,
             },
             self.ORGANISATION: {
                 PATH: self.ORGANISATION_PATH,
-                OUTPUT_SCHEMA: organisation_output_schema,
-                INPUT_SCHEMA: organisation_input_schema,
+                OUTPUT_SCHEMA: OrganisationDBSchema,
+                INPUT_SCHEMA: OrganisationInputSchema,
             },
             self.PROJECT: {
                 PATH: self.PROJECT_PATH,
-                OUTPUT_SCHEMA: project_output_schema,
-                INPUT_SCHEMA: project_input_schema,
+                OUTPUT_SCHEMA: ProjectDBSchema,
+                INPUT_SCHEMA: ProjectInputSchema,
             },
             self.SERVICE: {
                 ADDRESS: mp_api + "services",
-                OUTPUT_SCHEMA: service_output_schema,
-                INPUT_SCHEMA: service_input_schema,
+                OUTPUT_SCHEMA: ServiceDBSchema,
+                INPUT_SCHEMA: ServiceInputSchema,
             },
             self.DATASOURCE: {
                 ADDRESS: mp_api + "datasources",
-                OUTPUT_SCHEMA: data_source_output_schema,
-                INPUT_SCHEMA: data_source_input_schema,
+                OUTPUT_SCHEMA: DataSourceDBSchema,
+                INPUT_SCHEMA: DataSourceInputSchema,
             },
             self.BUNDLE: {
                 ADDRESS: mp_api + "bundles",
-                OUTPUT_SCHEMA: bundle_output_schema,
-                INPUT_SCHEMA: bundle_input_schema,
+                OUTPUT_SCHEMA: BundleDBSchema,
+                INPUT_SCHEMA: BundleInputSchema,
             },
             self.GUIDELINE: {
                 ADDRESS: str(self.GUIDELINE_ADDRESS),
-                OUTPUT_SCHEMA: guideline_output_schema,
-                INPUT_SCHEMA: guideline_input_schema,
+                OUTPUT_SCHEMA: GuidelineDBSchema,
+                INPUT_SCHEMA: GuidelineInputSchema,
             },
             self.TRAINING: {
                 ADDRESS: str(self.TRAINING_ADDRESS),
-                OUTPUT_SCHEMA: training_output_schema,
-                INPUT_SCHEMA: training_input_schema,
+                OUTPUT_SCHEMA: TrainingDBSchema,
+                INPUT_SCHEMA: TrainingInputSchema,
             },
             self.PROVIDER: {
                 ADDRESS: mp_api + "providers",
-                OUTPUT_SCHEMA: provider_output_schema,
-                INPUT_SCHEMA: provider_input_schema,
+                OUTPUT_SCHEMA: ProviderDBSchema,
+                INPUT_SCHEMA: ProviderInputSchema,
             },
             self.OFFER: {
                 ADDRESS: mp_api + "offers",
-                OUTPUT_SCHEMA: offer_output_schema,
-                INPUT_SCHEMA: offer_input_schema,
+                OUTPUT_SCHEMA: OfferDBSchema,
+                INPUT_SCHEMA: OfferInputSchema,
             },
             self.CATALOGUE: {
                 ADDRESS: mp_api + "catalogues",
-                OUTPUT_SCHEMA: catalogue_output_schema,
-                INPUT_SCHEMA: catalogue_input_schema,
+                OUTPUT_SCHEMA: CatalogueDBSchema,
+                INPUT_SCHEMA: CatalogueInputSchema,
             },
         }
 
diff --git a/app/tasks/transform/dump/transform.py b/app/tasks/transform/dump/transform.py
index d229812..f63850d 100644
--- a/app/tasks/transform/dump/transform.py
+++ b/app/tasks/transform/dump/transform.py
@@ -4,6 +4,7 @@
 from typing import Optional
 
 import boto3
+from pydantic import BaseModel
 from pyspark.sql import DataFrame, SparkSession
 from tqdm import tqdm
 
@@ -138,7 +139,7 @@ def transform_file(
     spark: SparkSession,
     s3_client: boto3.client,
     collection_name: str,
-    input_schema: dict,
+    input_schema: BaseModel,
     error_log: dict,
 ) -> Optional[DataFrame]:
     """
diff --git a/app/transform/transformers/base/base.py b/app/transform/transformers/base/base.py
index 27ea1cd..4dd60d4 100644
--- a/app/transform/transformers/base/base.py
+++ b/app/transform/transformers/base/base.py
@@ -3,6 +3,7 @@
 from abc import ABC, abstractmethod
 from logging import getLogger
 
+from pydantic import BaseModel
 from pyspark.sql import DataFrame, SparkSession
 from pyspark.sql.functions import col, udf
 from pyspark.sql.types import StringType, StructType
@@ -28,7 +29,7 @@ def __init__(
         cols_to_add: tuple[str, ...] | None,
         cols_to_drop: tuple[str, ...] | None,
         cols_to_rename: dict[str, str] | None,
-        exp_output_schema: dict,
+        exp_output_schema: BaseModel,
         spark: SparkSession,
     ):
         self.type = desired_type
@@ -87,7 +88,9 @@ def filter_columns(self, df: DataFrame) -> DataFrame:
         In that manner, if any column was added additionally it won't be included in output data
         """
         expected_columns = [
-            col for col in df.columns if col in self._exp_output_schema.keys()
+            col
+            for col in df.columns
+            if col in self._exp_output_schema.model_fields.keys()
         ]
         return df.select(*expected_columns)
 
diff --git a/app/transform/transformers/base/oag.py b/app/transform/transformers/base/oag.py
index ee177a5..7e14cb3 100644
--- a/app/transform/transformers/base/oag.py
+++ b/app/transform/transformers/base/oag.py
@@ -2,6 +2,7 @@
 """Transform OAG resources"""
 from abc import abstractmethod
 
+from pydantic import BaseModel
 from pyspark.sql import DataFrame, SparkSession
 from pyspark.sql.functions import array, col, lit, year
 from pyspark.sql.types import (
@@ -53,7 +54,7 @@ def __init__(
         desired_type: str,
         cols_to_add: tuple[str, ...] | None,
         cols_to_drop: tuple[str, ...] | None,
-        exp_output_schema: dict,
+        exp_output_schema: BaseModel,
         spark: SparkSession,
     ):
         super().__init__(
diff --git a/app/transform/transformers/bundle.py b/app/transform/transformers/bundle.py
index 0bdd51c..a81e042 100644
--- a/app/transform/transformers/bundle.py
+++ b/app/transform/transformers/bundle.py
@@ -14,7 +14,7 @@
 from app.transform.transformers.base.base import BaseTransformer
 from app.transform.utils.common import harvest_popularity
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.bundle import bundle_output_schema
+from schemas.db.bundle import BundleDBSchema
 from schemas.properties.data import ID, POPULARITY, TYPE
 
 
@@ -24,7 +24,7 @@ class BundleTransformer(BaseTransformer):
     def __init__(self, spark: SparkSession):
         self.type = settings.BUNDLE
         self.id_increment = settings.BUNDLE_IDS_INCREMENTOR
-        self.exp_output_schema = bundle_output_schema
+        self.exp_output_schema = BundleDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/catalogue.py b/app/transform/transformers/catalogue.py
index ff29cba..612d45b 100644
--- a/app/transform/transformers/catalogue.py
+++ b/app/transform/transformers/catalogue.py
@@ -6,7 +6,7 @@
 
 from app.settings import settings
 from app.transform.transformers.base.base import BaseTransformer
-from schemas.old.output.catalogue import catalogue_output_schema
+from schemas.db.catalogue import CatalogueDBSchema
 from schemas.properties.data import (
     CREATED_AT,
     ID,
@@ -26,7 +26,7 @@ def __init__(self, spark: SparkSession):
         self.type = settings.CATALOGUE
         # Increase the range of providers IDs -> to avoid a conflicts
         self.id_increment = settings.CATALOGUE_IDS_INCREMENTOR
-        self.exp_output_schema = catalogue_output_schema
+        self.exp_output_schema = CatalogueDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/data_source.py b/app/transform/transformers/data_source.py
index 3b02e27..4d5b252 100644
--- a/app/transform/transformers/data_source.py
+++ b/app/transform/transformers/data_source.py
@@ -12,7 +12,7 @@
 from app.settings import settings
 from app.transform.transformers.base.marketplace import MarketplaceBaseTransformer
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.data_source import data_source_output_schema
+from schemas.db.data_source import DataSourceDBSchema
 from schemas.properties.data import (
     BEST_ACCESS_RIGHT,
     OPEN_ACCESS,
@@ -28,7 +28,7 @@ class DataSourceTransformer(MarketplaceBaseTransformer):
     def __init__(self, spark):
         self.type = settings.DATASOURCE
         id_increment = settings.DATA_SOURCE_IDS_INCREMENTOR
-        self.exp_output_schema = data_source_output_schema
+        self.exp_output_schema = DataSourceDBSchema
 
         super().__init__(
             id_increment,
diff --git a/app/transform/transformers/dataset.py b/app/transform/transformers/dataset.py
index 55dc295..93fdd94 100644
--- a/app/transform/transformers/dataset.py
+++ b/app/transform/transformers/dataset.py
@@ -2,7 +2,7 @@
 """Transform datasets"""
 from app.settings import settings
 from app.transform.transformers.base.oag import OagBaseTransformer
-from schemas.old.output.dataset import dataset_output_schema
+from schemas.db.dataset import DatasetDBSchema
 
 
 class DatasetTransformer(OagBaseTransformer):
@@ -10,7 +10,7 @@ class DatasetTransformer(OagBaseTransformer):
 
     def __init__(self, spark):
         self.type = settings.DATASET
-        self.exp_output_schema = dataset_output_schema
+        self.exp_output_schema = DatasetDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/guideline.py b/app/transform/transformers/guideline.py
index 2624f07..21864af 100644
--- a/app/transform/transformers/guideline.py
+++ b/app/transform/transformers/guideline.py
@@ -8,10 +8,9 @@
 from pandas import DataFrame
 
 from app.services.mp_pc.data import get_providers_mapping
-from app.services.solr.validate.schema.validate import validate_pd_schema
+from app.services.solr.validate.schema.validate import validate_schema
 from app.settings import settings
-from schemas.old.input.guideline import guideline_input_schema
-from schemas.old.output.guideline import guideline_output_schema
+from schemas.input.guideline import GuidelineInputSchema
 from schemas.properties.data import (
     ALTERNATIVE_IDS,
     AUTHOR_NAMES,
@@ -20,6 +19,7 @@
     TYPE,
     URI,
 )
+from schemas.se.guideline import GuidelineSESchema
 
 logger = logging.getLogger(__name__)
 
@@ -318,7 +318,7 @@ def transform_guidelines(data: str) -> DataFrame:
     df = pd.DataFrame(data)
 
     try:  # validate input schema
-        validate_pd_schema(df, guideline_input_schema, settings.GUIDELINE, "input")
+        validate_schema(df, GuidelineInputSchema, settings.GUIDELINE, "input")
     except AssertionError:
         logger.warning(
             f"Schema validation of raw input data for type={settings.GUIDELINE} has failed. Input schema is different than excepted"
@@ -335,7 +335,7 @@ def transform_guidelines(data: str) -> DataFrame:
     if ALTERNATIVE_IDS in df.columns:
         serialize_alternative_ids(df)
     else:
-        del guideline_output_schema[ALTERNATIVE_IDS]
+        del GuidelineSESchema[ALTERNATIVE_IDS]
 
     harvest_identifiers(df)
     harvest_authors_names(df)
@@ -345,14 +345,14 @@ def transform_guidelines(data: str) -> DataFrame:
     df = df.reindex(sorted(df.columns), axis=1)
 
     try:  # validate output schema
-        validate_pd_schema(df, guideline_output_schema, settings.GUIDELINE, "output")
+        validate_schema(df, type[GuidelineSESchema], settings.GUIDELINE, "output")
     except AssertionError:
         logger.warning(
             f"Schema validation after transformation failed for type={settings.GUIDELINE} has failed. Output schema is different than excepted"
         )
 
     columns_to_get = [
-        _col for _col in guideline_output_schema.keys() if _col in df.columns
+        _col for _col in GuidelineSESchema.model_fields.keys() if _col in df.columns
     ]
     # Take only those columns that are present in the expected output schema and exists in df
     df = df[columns_to_get]
diff --git a/app/transform/transformers/offer.py b/app/transform/transformers/offer.py
index ea9666e..e741f1e 100644
--- a/app/transform/transformers/offer.py
+++ b/app/transform/transformers/offer.py
@@ -18,7 +18,7 @@
     map_best_access_right,
 )
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.offer import offer_output_schema
+from schemas.db.offer import OfferDBSchema
 from schemas.properties.data import BEST_ACCESS_RIGHT, ID, OPEN_ACCESS, POPULARITY, TYPE
 
 
@@ -28,7 +28,7 @@ class OfferTransformer(BaseTransformer):
     def __init__(self, spark: SparkSession):
         self.type = settings.OFFER
         self.id_increment = settings.OFFER_IDS_INCREMENTOR
-        self.exp_output_schema = offer_output_schema
+        self.exp_output_schema = OfferDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/organisation.py b/app/transform/transformers/organisation.py
index acc787e..a5bbaeb 100644
--- a/app/transform/transformers/organisation.py
+++ b/app/transform/transformers/organisation.py
@@ -9,7 +9,7 @@
 from app.settings import settings
 from app.transform.transformers.base.base import BaseTransformer
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.organisation import organisation_output_schema
+from schemas.db.organisation import OrganisationDBSchema
 from schemas.properties.data import (
     ABBREVIATION,
     ALTERNATIVE_NAMES,
@@ -31,7 +31,7 @@ class OrganisationTransformer(BaseTransformer):
 
     def __init__(self, spark: SparkSession):
         self.type = settings.ORGANISATION
-        self.exp_output_schema = organisation_output_schema
+        self.exp_output_schema = OrganisationDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/other_rp.py b/app/transform/transformers/other_rp.py
index ceada3a..a01b455 100644
--- a/app/transform/transformers/other_rp.py
+++ b/app/transform/transformers/other_rp.py
@@ -2,7 +2,7 @@
 """Transform other research products"""
 from app.settings import settings
 from app.transform.transformers.base.oag import OagBaseTransformer
-from schemas.old.output.other_rp import other_rp_output_schema
+from schemas.db.other_rp import OtherRPDBSchema
 
 
 class OtherRPTransformer(OagBaseTransformer):
@@ -10,7 +10,7 @@ class OtherRPTransformer(OagBaseTransformer):
 
     def __init__(self, spark):
         self.type = settings.OTHER_RP
-        self.exp_output_schema = other_rp_output_schema
+        self.exp_output_schema = OtherRPDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/project.py b/app/transform/transformers/project.py
index b992c85..c6a9b0d 100644
--- a/app/transform/transformers/project.py
+++ b/app/transform/transformers/project.py
@@ -21,7 +21,7 @@
 from app.transform.transformers.base.base import BaseTransformer
 from app.transform.utils.join_dfs import create_df, join_different_dfs
 from app.transform.utils.utils import handle_missing_column, sort_schema
-from schemas.old.output.project import project_output_schema
+from schemas.db.project import ProjectDBSchema
 from schemas.properties.data import *
 
 
@@ -30,7 +30,7 @@ class ProjectTransformer(BaseTransformer):
 
     def __init__(self, spark: SparkSession):
         self.type = settings.PROJECT
-        self.exp_output_schema = project_output_schema
+        self.exp_output_schema = ProjectDBSchema
 
         self.logger = logging.getLogger(__name__)
 
diff --git a/app/transform/transformers/provider.py b/app/transform/transformers/provider.py
index a75b892..fe892aa 100644
--- a/app/transform/transformers/provider.py
+++ b/app/transform/transformers/provider.py
@@ -9,7 +9,7 @@
 from app.transform.transformers.base.base import BaseTransformer
 from app.transform.utils.common import harvest_popularity
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.provider import provider_output_schema
+from schemas.db.provider import ProviderDBSchema
 from schemas.properties.data import ID, POPULARITY, TYPE, URL
 
 
@@ -20,7 +20,7 @@ def __init__(self, spark: SparkSession):
         self.type = settings.PROVIDER
         # Increase the range of providers IDs -> to avoid a conflicts
         self.id_increment = settings.PROVIDER_IDS_INCREMENTOR
-        self.exp_output_schema = provider_output_schema
+        self.exp_output_schema = ProviderDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/publication.py b/app/transform/transformers/publication.py
index c535451..4ec07c9 100644
--- a/app/transform/transformers/publication.py
+++ b/app/transform/transformers/publication.py
@@ -2,7 +2,7 @@
 """Transform publications"""
 from app.settings import settings
 from app.transform.transformers.base.oag import OagBaseTransformer
-from schemas.old.output.publication import publication_output_schema
+from schemas.db.publication import PublicationDBSchema
 
 
 class PublicationTransformer(OagBaseTransformer):
@@ -10,7 +10,7 @@ class PublicationTransformer(OagBaseTransformer):
 
     def __init__(self, spark):
         self.type = settings.PUBLICATION
-        self.exp_output_schema = publication_output_schema
+        self.exp_output_schema = PublicationDBSchema
         super().__init__(
             self.type,
             self.cols_to_add,
diff --git a/app/transform/transformers/service.py b/app/transform/transformers/service.py
index e609106..c038ad0 100644
--- a/app/transform/transformers/service.py
+++ b/app/transform/transformers/service.py
@@ -11,7 +11,7 @@
 from app.settings import settings
 from app.transform.transformers.base.marketplace import MarketplaceBaseTransformer
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.service import service_output_schema
+from schemas.db.service import ServiceDBSchema
 from schemas.properties.data import BEST_ACCESS_RIGHT, OPEN_ACCESS, POPULARITY
 
 
@@ -21,7 +21,7 @@ class ServiceTransformer(MarketplaceBaseTransformer):
     def __init__(self, spark):
         self.type = settings.SERVICE
         id_increment = settings.SERVICE_IDS_INCREMENTOR
-        self.exp_output_schema = service_output_schema
+        self.exp_output_schema = ServiceDBSchema
 
         super().__init__(
             id_increment,
diff --git a/app/transform/transformers/software.py b/app/transform/transformers/software.py
index f95d3ef..271dc2f 100644
--- a/app/transform/transformers/software.py
+++ b/app/transform/transformers/software.py
@@ -2,7 +2,7 @@
 """Transform software"""
 from app.settings import settings
 from app.transform.transformers.base.oag import OagBaseTransformer
-from schemas.old.output.software import software_output_schema
+from schemas.db.software import SoftwareDBSchema
 
 
 class SoftwareTransformer(OagBaseTransformer):
@@ -10,7 +10,7 @@ class SoftwareTransformer(OagBaseTransformer):
 
     def __init__(self, spark):
         self.type = settings.SOFTWARE
-        self.exp_output_schema = software_output_schema
+        self.exp_output_schema = SoftwareDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/transformers/training.py b/app/transform/transformers/training.py
index 4ffd868..0428c8d 100644
--- a/app/transform/transformers/training.py
+++ b/app/transform/transformers/training.py
@@ -30,7 +30,7 @@
     transform_date,
 )
 from app.transform.utils.utils import sort_schema
-from schemas.old.output.training import training_output_schema
+from schemas.db.training import TrainingDBSchema
 from schemas.properties.data import *
 
 logger = getLogger(__name__)
@@ -41,7 +41,7 @@ class TrainingTransformer(BaseTransformer):
 
     def __init__(self, spark: SparkSession):
         self.type = settings.TRAINING
-        self.exp_output_schema = training_output_schema
+        self.exp_output_schema = TrainingDBSchema
 
         super().__init__(
             self.type,
diff --git a/app/transform/utils/load.py b/app/transform/utils/load.py
index daf4b4e..542b867 100644
--- a/app/transform/utils/load.py
+++ b/app/transform/utils/load.py
@@ -1,6 +1,7 @@
 import json
 from logging import getLogger
 
+from pydantic import BaseModel
 from pyspark.sql import DataFrame, SparkSession
 
 from app.services.solr.validate.schema.validate import validate_schema
@@ -14,7 +15,7 @@ def load_file_data(spark: SparkSession, data_path: str, _format: str = "json"):
 
 
 def load_request_data(
-    spark: SparkSession, data: dict | list[dict], input_exp_sch: dict, type_: str
+    spark: SparkSession, data: dict | list[dict], input_exp_sch: BaseModel, type_: str
 ) -> DataFrame:
     """Load input data into pyspark dataframe, validate its schema"""
     df = spark.read.json(spark.sparkContext.parallelize([json.dumps(data)]))
diff --git a/docker-compose.yml b/docker-compose.yml
index 109b0af..565385e 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -8,6 +8,7 @@ services:
     command: uvicorn app.main:app --host 0.0.0.0 --port 8080
     volumes:
       - ./app:/app
+      - ./schemas:/schemas
     environment:
       CELERY_BROKER_URL: redis://redis:6379/0
       CELERY_RESULT_BACKEND: redis://redis:6379/0
diff --git a/schemas/db/__init__.py b/schemas/db/__init__.py
index 56ce339..77eee19 100644
--- a/schemas/db/__init__.py
+++ b/schemas/db/__init__.py
@@ -1 +1,33 @@
+from schemas.db.bundle import BundleDBSchema
+from schemas.db.catalogue import CatalogueDBSchema
+from schemas.db.data_source import DataSourceDBSchema
+from schemas.db.dataset import DatasetDBSchema
+from schemas.db.guideline import GuidelineDBSchema
+from schemas.db.offer import OfferDBSchema
+from schemas.db.organisation import OrganisationDBSchema
+from schemas.db.other_rp import OtherRPDBSchema
+from schemas.db.project import ProjectDBSchema
+from schemas.db.provider import ProviderDBSchema
+from schemas.db.publication import PublicationDBSchema
+from schemas.db.service import ServiceDBSchema
+from schemas.db.software import SoftwareDBSchema
+from schemas.db.training import TrainingDBSchema
+
 """Expected schemas for database"""
+
+__all__ = [
+    "CatalogueDBSchema",
+    "BundleDBSchema",
+    "DataSourceDBSchema",
+    "DatasetDBSchema",
+    "GuidelineDBSchema",
+    "OfferDBSchema",
+    "OrganisationDBSchema",
+    "OtherRPDBSchema",
+    "ProjectDBSchema",
+    "ProviderDBSchema",
+    "PublicationDBSchema",
+    "ServiceDBSchema",
+    "SoftwareDBSchema",
+    "TrainingDBSchema",
+]
diff --git a/schemas/db/other_rp.py b/schemas/db/other_rp.py
index e77e05f..43cc199 100644
--- a/schemas/db/other_rp.py
+++ b/schemas/db/other_rp.py
@@ -17,7 +17,7 @@
 from schemas.common.oag.subject import Subject
 
 
-class OtherResearchProductDBSchema(BaseModel):
+class OtherRPDBSchema(BaseModel):
     """
     Pydantic model representing the expected db schema for a other_rp data type.
 
diff --git a/schemas/input/__init__.py b/schemas/input/__init__.py
index 22ea919..e32b049 100644
--- a/schemas/input/__init__.py
+++ b/schemas/input/__init__.py
@@ -1 +1,35 @@
 """Expected schemas for input data"""
+
+"""Import input schemas"""
+
+from .bundle import BundleInputSchema
+from .catalogue import CatalogueInputSchema
+from .data_source import DataSourceInputSchema
+from .dataset import DatasetInputSchema
+from .guideline import GuidelineInputSchema
+from .offer import OfferInputSchema
+from .organisation import OrganisationInputSchema
+from .other_rp import OtherRPInputSchema
+from .project import ProjectInputSchema
+from .provider import ProviderInputSchema
+from .publication import PublicationInputSchema
+from .service import ServiceInputSchema
+from .software import SoftwareInputSchema
+from .training import TrainingInputSchema
+
+__all__ = [
+    "CatalogueInputSchema",
+    "BundleInputSchema",
+    "DataSourceInputSchema",
+    "DatasetInputSchema",
+    "GuidelineInputSchema",
+    "OfferInputSchema",
+    "OrganisationInputSchema",
+    "OtherRPInputSchema",
+    "ProjectInputSchema",
+    "ProviderInputSchema",
+    "PublicationInputSchema",
+    "ServiceInputSchema",
+    "SoftwareInputSchema",
+    "TrainingInputSchema",
+]
diff --git a/schemas/input/guideline.py b/schemas/input/guideline.py
index dc88a6b..bf7187f 100644
--- a/schemas/input/guideline.py
+++ b/schemas/input/guideline.py
@@ -11,7 +11,7 @@ class GuidelineInputSchema(BaseModel):
     Pydantic model representing the expected input schema for a interoperability guideline.
 
     Attributes:
-        alternativeIdentifiers (Listń):
+        alternativeIdentifiers (List):
             A list of alternative identifiers for the guideline.
         catalogueId (str):
             The catalogue identifier for the guideline.