Data Engineer Production Checklist
A practical review checklist covering reliability, data quality, security, monitoring, performance, and recovery before a pipeline ships.
Resources
Practical material you can use.
Guides, checklists, playbooks, and technical resources built around the problems Data Engineers actually meet in production.
Pipeline Incident Response Playbook
A concise framework for investigating late, failed, partial, or incorrect data pipelines without losing time on random checks.
Data Quality Control Pack
Reusable control ideas for freshness, row counts, duplicates, reconciliation, schema changes, and anomaly detection.
Production ADF Design Patterns
Practical patterns for metadata-driven ingestion, incremental loads, secrets, retries, logging, and maintainable pipelines.
Data Platform Architecture Review
A structured way to review data flows, dependencies, security boundaries, performance, and operations before scaling up.
Pipeline Health Dashboard
A future Power BI / DataOps asset for pipeline health, SLA, freshness, runtime, failure patterns, and dependency visibility.