What are the best practices for designing a scalable data pipeline architecture? or How do you handle

Don’t forget *data lineage*! Scaling is pointless if you can’t track where data came from.

Tools: OpenLineage or Marquez.

And +1 to partitioning—time-based is the easiest win.

PS: Avoid "just throw more servers at it." That’s how you end up with a $$$ AWS bill and a confused CFO.