Update README.md

tinybird/README.md

@@ -3,11 +3,11 @@
 Benchmarking a database often requires deep expertise and fine-tuning. Here, our goal is merely to test the default experience of a new
 user, i.e. someone who does not invest the time to optimize performance.
 
-Testing is semi-automatized.
+Testing is semi-automated.
 
-The system as a timeout of 10s, after that it recommends to optimize (rewrite) the query.
+The system has a timeout of 10s; after that, it recommends to optimize (rewrite) the query.
 
-Load time and data size in the results are set to 0 as Tinybird did not indicate these resources.
+Load time and data size in the results are set to 0, as Tinybird did not indicate these resources.
 
 # Creating an account
 
@@ -16,15 +16,15 @@ Head to https://www.tinybird.co and create an account.
 # Inserting data
 
 Tinybird supports data inserts from various sources. We are going to use S3 to load a Parquet file into Tinybird. Since Tinybird limits the
-file size to 1 GB and the test data set is larger than that, we split it into smaller chunks using ClickHouse:
+file size to 1 GB, and the test data set is larger than that, we split it into smaller chunks using ClickHouse:
 
 ```sql
 INSERT INTO FUNCTION s3('https://hitsparquet.s3.eu-west-3.amazonaws.com/data/hits_{_partition_id}.parquet', '', '', 'Parquet')
 PARTITION BY rand() % 50
 SELECT * FROM hits
 ```
 
-Import of files with sizes a little bit less than 1 GB did not always work. We instead used 50 files of around 280 MB each. You will need to
+Importing files with sizes a little bit less than 1 GB did not always work. We instead used 50 files of around 280 MB each. You will need to
 use the auto mode to make sure all the files are read.
 
 # Querying the data