Problem Statement : This assessment evaluates end-to-end data engineering and QA validation skills using Azure Databricks. Learners implement an ETL pipeline that ingests raw order data, applies data cleansing, and executes fraud detection logic across Bronze, Silver, and Gold Delta Lake layers. The assessment further validates schema accuracy, null handling, fraud flags, and aggregations using PyTest-based automated tests, with notebooks and datasets programmatically deployed and executed via Databricks REST APIs, ensuring a secure and fully automated validation workflow.