Your question is Data Governance in Pipelines. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You're building and maintaining shared data pipelines that feed analytics, internal tools, and model workflows. You want a clear approach to governance so data stays trustworthy, documented, and usable across teams.
How do you approach data governance in your data engineering practices?