I work hands-on with enterprise Databricks platforms and have spent a lot of time untangling pipelines that grew complex over years—multiple source systems, layered business logic, and unclear ownership. I enjoy breaking these problems down and helping others truly understand why something works (or doesn’t), not just how to patch it. I regularly mentor data engineers on PySpark debugging, Medallion design, lineage clarity, governance decisions, and cost-effective optimization. Most of my guidance comes from real production scenarios—what actually scales, what quietly breaks later, and what’s worth keeping simple. If you’re looking for a calm second brain to review your approach, unblock a tricky problem, or talk through design decisions without guesswork, I’m happy to help.