How to Achieve Coupe of functionalities in Azure Data Factory Dyanmically.

AjayGopu 

You can achieve this dynamically in Azure Data Factory (ADF) using Pipelines and Mapping Data Flows without Function Apps or Databricks.

Steps:
1. Loop through files – Use Get Metadata + ForEach to iterate over CSVs in Blob Storage.
2. Get row count – Use Aggregate transformation in Data Flow.
3. Apply conditional logic – Use If Condition to check if row count > 0.
4. Validate rows – Use Derived Column + Filter transformation to check for misaligned columns (unquoted commas).
5. Move valid/invalid rows –
  Valid Rows → Convert to Parquet
  Invalid Rows → Save as CSV in another folder
This keeps the pipeline fully dynamic and automated