Udemy – Databricks Data Engineering with AWS

Databricks has become the default lakehouse platform for data engineering on AWS — over 60% of the Fortune 500 run on it. But knowing individual features isn’t the same as being able to design, build, test, and deploy a real production pipeline. This course takes you through both: you’ll master the core Databricks and AWS skills chapter by chapter, then apply every one of them to a single, realistic capstone project — an end-to-end lakehouse built for a real business, deployed the way production teams actually deploy.

Learn Databricks on AWS and Build a Real Production Lakehouse from the Ground Up:

• Set up and govern a Databricks workspace on AWS with Unity Catalog from day one
• Master Delta Lake — ACID transactions, time travel, constraints, performance
• Design Medallion Architecture pipelines with Lakeflow Connect and Lakeflow Declarative Pipelines
• Orchestrate production pipelines with Lakeflow Jobs — multi-task DAGs, retries, parameterization
• Build a complete lakehouse for a real e-commerce business — five source systems, five business-critical gold outputs
• Test, package, and deploy your pipelines with pytest, Databricks Asset Bundles, and GitHub Actions CI/CD