Less NULLs. More value.
Streaming ETL is no longer a niche—it's the foundation of real-time, event-driven systems. In this post, I break down when to use streaming pipelines, how Kafka and Flink fit together, and walk through a real-world example.
ETL has evolved—fast. Here's a clear, thoughtful guide on modern ETL vs. ELT, highlighting real-world use cases, tooling insights, and best practices for data engineers.
A senior data engineer's story of building real-time and batch pipelines—and why I'm sharing my journey to land my dream role.