Learn Databricks end to end by building a real-world Transportation domain data pipeline using Databricks Free Edition, Apache Spark, and LakeFlow Spark Declarative Pipelines (SDP).

This video walks you through the complete lifecycle of an industry-style data engineering project. It starts with business and stakeholder understanding, covers declarative versus imperative programming, and demonstrates how to build scalable Bronze, Silver, and Gold pipelines using LakeFlow. The final output is BI-ready data that you can confidently showcase on your resume.

Topics covered

• Project and stakeholder overview


• Technical architecture and data understanding


• Databricks Free Edition setup


• Catalogs and schemas creation


• S3 bucket setup and Databricks integration


• Declarative vs imperative programming in Spark


• LakeFlow Spark Declarative Pipelines (SDP) concepts


• Bronze layer ingestion pipelines


• Silver layer transformations and data modeling


• Gold layer BI-ready datasets


• Incremental data loads


• Access management and governance basics


• Benefits of LakeFlow SDP


• End-to-end Transportation domain data engineering project