In this video, we dive deep into one of the most powerful features of Azure Data Factory: Parameterization and the Expression System. This module will show you how to make your pipelines dynamic, reusable, metadata-driven, and production-ready. Topics covered in this lesson: 5.1 Parameterization System • Pipeline parameters • Dataset parameters • Linked Service parameters • How to pass values across activities • Parameterizing file paths, table names, and connection details 5.2 Expressions, Variables & Functions • Using Dynamic Content • String, date, and math functions • System variables: @pipeline(), @activity(), @item() • Working with arrays and JSON • Conditionals and runtime logic • Building scalable metadata-driven ingestion patterns #Azure #ADF #AzureDataFactory #DataEngineering #ETL #CloudData #DynamicPipelines #MetadataDriven #AzureTutorial #DataPipelines