Applied Data Engineering - From Requirements to Production

Move from “it works” to “it works, reliably, at scale.” This path digs into ingestion, lakehouse table formats, stream/batch unification, and the operational backbone—contracts, observability, cost, and security—so teams can run real production pipelines with confidence.