Description
Do you want to go from writing Databricks pipelines to running them in production? This is the preview of my hands-on course, Databricks Data Engineering with AWS.
You do not just learn features. You build a real production lakehouse on Databricks on AWS and deploy it the way real data teams do: tested, bundled and shipped through CI/CD. Along the way you master Delta Lake and Unity Catalog governance, build medallion architecture pipelines with Lakeflow, ingest real CDC data at scale, and orchestrate it all with Lakeflow Jobs. Then you apply everything to one continuous capstone project: a full e-commerce lakehouse, tested, packaged with Databricks asset bundles and deployed through GitHub Actions CI/CD.
The course is built for practising data engineers who already know Spark and Python.
🎓 Full video course: https://www.udemy.com/course/databricks-data-engineering-with-aws/?referralCode=CE4E01DB502854475879
📘 Free tutorials: https://scholarnest.in/tutorial/databricks-data-engineering-with-aws-tutorial
👤 I'm Prashant Kumar Pandey. 25 years of experience designing, developing and delivering data platforms for global enterprises.
🔗 LinkedIn: https://www.linkedin.com/in/prashant-kumar-pandey/
💻 GitHub: https://github.com/learningjournal
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#Databricks #DataEngineering #DeltaLake