Data Engineering
What I Look For in a Reliable Data Pipeline
Reliability starts before orchestration. A useful pipeline has clear ownership, observable runs, freshness expectations, and checks that catch bad data before users do.
This placeholder post will become a practical checklist covering freshness, lineage, schema changes, alerting, backfills, and stakeholder communication.