Update README.md

README.md

@@ -13,18 +13,18 @@ products:
 This sample demonstrates a data cleaning pipeline with Azure Functions written in Python triggered off a HTTP event from Event Grid to perform some pandas cleaning and reconciliation of CSV files.
 Using this sample we demonstrate a real use case where this is used to perform cleaning tasks.
 
-# Getting Started
+## Getting Started
 
-## Deploy to Azure
+### Deploy to Azure
 
-### Prerequisites
+#### Prerequisites
 
 - Install Python 3.6+
 - Install [Functions Core Tools](https://docs.microsoft.com/en-us/azure/azure-functions/functions-run-local#v2)
 - Install Docker
 - Note: If run on Windows, use Ubuntu WSL to run deploy script
 
-### Steps
+#### Steps
 
 - Deploy through Azure CLI
     - Open AZ CLI and run `az group create -l [region] -n [resourceGroupName]` to create a resource group in your Azure subscription (i.e. [region] could be westus2, eastus, etc.)
@@ -34,7 +34,7 @@ Using this sample we demonstrate a real use case where this is used to perform c
   - [Create/Activate virtual environment](https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-function-python#create-and-activate-a-virtual-environment)
   - Run `func azure functionapp publish [functionAppName] --build-native-deps` 
 
-## Test
+### Test
 
 - Upload s1.csv file into c1raw container
 - Watch event grid trigger the CleanTrigger1 function and produce a "cleaned_s1_raw.csv"
@@ -52,6 +52,6 @@ Using this sample we demonstrate a real use case where this is used to perform c
 - Watch it produce final.csv file 
 - Can use a logic app to call the reconcile method with batch id's
 
-# References
+## References
 
 - [Create your first Python Function](https://docs.microsoft.com/en-us/azure/azure-functions/functions-create-first-function-python)