I developed an end-to-end travel booking data warehouse on Databricks, processing daily customer and booking data through parameterized ETL pipelines using PySpark, SQL, and Delta Lake.
I implemented incremental ingestion and a Customer Dimension with SCD Type 2 history, then developed a daily Booking Fact table with revenue and booking metrics.
I added PyDeequ data quality checks, optimized Delta Lake tables, and orchestrated ETL workflows. I also created SQL analytics for daily revenue and Customer 360 reporting.

