Lessons Learned in Data Engineering 2025: Do’s, Don’ts & Best Practices

A comprehensive guide sharing 15 years of data engineering experience, covering essential practices for 2025. Key recommendations include implementing data lineage from day one, establishing data contracts, investing in observability over monitoring, treating metadata as critical infrastructure, and building for change rather than stability. The guide emphasizes that modern data engineering is about creating trust in data rather than just moving it, especially as organizations become AI-ready and navigate multi-cloud environments.