Optimizing Your ETL Pipeline: 3 Common Pitfalls to Avoid

This article would offer expert advice on a core data engineering task. You could discuss common mistakes like inefficient data reads, a lack of robust error handling, or poor scheduling. For each pitfall, you'd provide a clear solution, such as using incremental loads or implementing a centralized logging system.