Udemy – Production Python for Data Engineers: Real Interview Prep

Most Python courses teach you syntax. This one teaches you how to build the kind of code a senior data engineer is actually expected to ship — code that survives failure, gets reviewed like a real pull request, and holds up under interview-level scrutiny. If you already know Python but have never built a production data pipeline — one that has to run unattended, recover from failure, and be trusted by a team — this course closes that exact gap.

In this course, you will:

• Structure and package a real Python project the way production teams do — not a script, an installable tool
• Use strict typing and Pydantic to catch bad data before it becomes a confusing bug three functions downstream
• Build resilient error handling — retries with backoff and jitter, and a dead-letter path for records that can’t be saved
• Make a pipeline provably idempotent, so running it twice never corrupts your data
• Write tests that actually test failure paths, not just the happy path
• Add structured logging you can actually debug from, without rerunning anything
• Handle concurrency safely, with bounded, profiled async code
• Manage configuration and secrets the way real teams do — typed, validated, never hardcoded
• Set up a CI pipeline that actually gates what it claims to gate