If you're building an analytics platform from scratch, here's the exact stack I'd use today. Tools, trade-offs, and practical lessons behind a modular, scalable, and low-maintenance data setup

This is the no-BS guide for data engineers who want to publish a legit tech portfolio that looks good and works. Without wasting time on design rabbit holes.

Here are some hard lessons I learned from the battle grounds of building and migrating data platform tooling

The brutal truth is that you’re likely to fail at migration projects unless you fix this

These 5 signs mean you may never become a senior engineer unless you address your flaws.

Here’s how my week looks and what you can expect if you want to become a head of data

By the end, you’ll walk away with a working pipeline test suite, custom GX checkpoints, and a README you’d be proud to ship.

Every aspiring data engineer focuses on hard skills. Few understand early connections are what actually accelerate success.

Your gentle intro to graphs through real examples from data pipelines, DAGs, and lineage — designed for engineers who never learned this in school.

You don’t need a perfect pipeline to prove value. I share my method for building lightweight data solutions that get early feedback and build trust fast.