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Book synopsis

Ever had a data pipeline break at 2 a.m., silently drop half your data, and still claim everything is "green"? Yeah-this book is for that.

Python Data Engineering is a practical, no-fluff guide to building reliable, scalable, and production-ready data systems using Python. It's written for engineers who are tired of fragile pipelines, mystery failures, and dashboards that lie with a straight face.

This book walks you step by step through the entire data engineering lifecycle-from ingestion to transformation, orchestration, analytics, and production hardening-without pretending that everything works perfectly the first time (it doesn't).

You'll learn how to:

• Design bulletproof batch and streaming pipelines
• Write production-grade Python that survives real-world data
• Handle schema drift, late data, retries, and backfills without panic
• Build clean ELT/ETL architectures that scale with your business
• Implement data quality checks, testing, and observability
• Optimize performance without burning money
• Deploy, monitor, and evolve data systems that won't wake you up at night

Along the way, we'll cover modern data engineering concepts like workflow orchestration, analytics engineering, semantic layers, testing strategies, real-time processing, security, governance, and incident response-explained clearly, practically, and with a sense of humor.

• This is not a "hello world" Python book.
• It's a how-to-survive-in-production book.

If you are:

• A Python developer moving into data engineering
• A data engineer who wants stronger fundamentals
• An analytics engineer who wants to understand the full stack
• Or someone who just wants pipelines that don't explode
• ...this book is written for you.

No magic. No hype. Just solid systems, real lessons, and a clear path to building data platforms you can actually trust.

Let's build pipelines that work-even when things go wrong.

Book details

• Full title: Python Data Engineering
• Subtitle: Build Bulletproof Pipelines & Analytics Systems
• Author: Roman Estavelle
• Language: English
• Binding: Paperback
• Number of pages: 348
• EAN: 9798185164198
• ID: 53199156
• Publisher: Independently published
• Weight: 809 g
• Dimensions: 280 × 216 × 18 mm
• Date of publishing: 01. July 2026

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