Built a reusable Azure Data Factory + Databricks ingestion framework to onboard enterprise Oracle and operational data into a governed lakehouse. The solution used configuration-driven onboarding, incremental loading, watermarks, validation rules and run-level audit history to reduce bespoke pipeline work and improve recovery. I implemented Bronze / Silver / Gold processing, schema and business validation, deduplication, targeted reruns and operational monitoring, helping create a more reliable and scalable foundation for reporting and analytics.