DATA ENGINEER : ETL/ELT & STREAMING SYSTEMS : Designing, Building, and Operating Modern Data Pipelines at Scale by Mohan Rayithi
English | February 25, 2026 | ISBN: N/A | ASIN: B0GQ6K54FQ | 213 pages | EPUB | 1.06 Mb
Data engineering is no longer about moving data. It's about powering real-time decisions.
Data Engineer: ETL/ELT & Streaming Systems is the most comprehensive, modern, and practical guide to building production-grade data pipelines in today's cloud-native, streaming-first world.
This book goes far beyond tools and tutorials. It teaches you how to think like a data engineer-from batch foundations to real-time streaming, from ELT at scale to AI-augmented and autonomous pipelines.
You'll learn how to design reliable, observable, secure, and cost-efficient data systems used by modern enterprises-while mastering the tradeoffs that separate average pipelines from world-class platforms.
Whether you are building analytics platforms, real-time systems, or preparing for senior data engineering roles, this book gives you the architectural clarity, system thinking, and hands-on judgment the industry actually demands.
This is not a reference manual.
This is a career-defining playbook.
What You'll LearnETL vs ELT architectures and when to use eachBatch and streaming systems that scale and recoverEvent-driven architectures and stateful streamingData modeling for analytics and real-time systemsData quality, observability, and governance by designCost optimization and performance tuning at scaleAI-augmented and intelligent data pipelinesReal-world mini projects, scenarios, and system design walkthroughs
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