Practical insights on data engineering, the modern data stack, AI automation, and building systems that actually scale.
Most slow pipelines aren't a compute problem — they're a design problem. After building pipelines that cut execution time from hours to minutes at a Fortune 500, here's what I've learned about the real culprits.
dbt transformed how analytics engineers write transformations — but it's not always the right tool. Here's my framework for deciding when raw SQL wins.
A step-by-step walkthrough of the architecture behind ingesting 10,000+ live data points per minute using Spark Structured Streaming, Kafka, and BigQuery.
Everyone's talking about AI agents. But which ones are actually production-ready for data teams? I break down what's working, what's hype, and what I'm building with.
I've built production pipelines on both. Here's an honest, hands-on comparison — not a spec sheet, but real tradeoffs that matter when you're choosing a warehouse.
Good governance doesn't have to slow you down. Here's how we enforced lineage, validation, and compliance at scale without killing engineering velocity.