Writing
Discover what the Data Lakehouse architecture is, why it's replacing traditional data warehouses and data lakes, and how you can build one using Apache Iceberg, Delta Lake, and…
A data engineer's weekly reflection: automating a manual ingestion job, asking for help sooner, Airflow dynamic task mapping, and collaboration over heroics.
What linear regression is, why it matters for businesses, real-world applications, how it works step by step, key evaluation metrics, limitations, and best practices.
Discover the 5 essential AI and ML tools data engineers need in 2026 — from dbt LLM macros to MLflow, Feast, Great Expectations, and cloud ML pipelines.
Every data engineer has a story. It usually starts the same way: someone needed a quick data pull, so you wrote a Python script. It worked. Then it…
A senior data engineer reflects on one week of building, writing, and teaching — the lessons that actually moved the needle, and the ones you can skip.
From medical imaging to ICU deterioration models, AI is quietly transforming healthcare in 2026. Here's what's actually in production — and why none of it works without serious…
A data engineer's honest take on Polars vs Pandas in 2026: what Polars does differently, real benchmarks, migration tips, and when pandas is still the right call.
Slow Spark jobs are a data engineering pain point. Learn 5 practical Apache Spark optimization techniques — from avoiding shuffles to reading the Spark UI — with real…
I’ve seen pipelines fail in the most dramatic ways. Not during development. Not during testing. In production. At 2 AM. Right before a stakeholder demo. And almost every…
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