The complete data engineering best practices checklist : pipeline design, data quality, idempotency, schema evolution, testing, and observability.
Pipeline observability : the three pillars (metrics, logs, lineage), alerting strategies, and building dashboards that catch failures before users do.
What to validate and when : the data testing pyramid, schema tests, row-level assertions, regression testing, and integration with CI/CD pipelines.
How to partition and organize data for query performance : partition strategies, sort orders, Z-ordering, and common mistakes that kill performance.
