Build a movie recommendation data pipeline using Azure services for efficient data ingestion, transformation, and orchestration. Utilize Azure Blob Storage, Azure Databricks, and Azure Data Factory to implement collaborative filtering and PySpark ML for accurate movie recommendations.

Scala code to convert CSV files stored in Azure Blob Storage to Parquet and store into Azure Storage, using Data bricks notebook and ARM template to run the notebook as a Azure Data Factory Job