Are you a data engineer (or aspiring to be one) who struggles to explain consistency models, optimize pipeline lead times, or defend your AI training data? You’re not alone. In today’s competitive landscape, gaps like these can cost you a job.

The good news: you don’t have to figure it out alone.

I’ve distilled 25 years of enterprise data experience into seven ruthlessly practical book recommendations. Each one is paired with:

✅ A field exercise you can apply immediately
✅ An interview line that makes you sound like a senior engineer
✅ A bonus resource to reinforce your learning