{ "item_title" : "Data Engineering with Python", "item_author" : [" Miguel Farmer "], "item_description" : "Turn Raw Data into Reliable Insights-One Pipeline at a Time.In a world where data is the new oil, being able to move, clean, transform, and store data efficiently is a game-changing skill. Data Engineering with Python gives you the tools and know-how to build end-to-end ETL pipelines and robust data workflows-from scratch.This book is built for developers, analysts, and aspiring data engineers who want a clear, hands-on guide to real-world data engineering. You'll master how to extract data from APIs and databases, clean and structure it using Python, and load it into data warehouses for downstream analysis. With step-by-step walkthroughs, best practices, and scalable architecture patterns, you'll go beyond the theory and start building production-grade systems.Whether you're working with batch or streaming data, local files or cloud services-this book will equip you with the Python-first approach to build pipelines that are scalable, maintainable, and ready for the modern data stack.✅ What You'll Learn: ETL fundamentals and how to build pipelines from zeroUsing Pandas, SQLAlchemy, and Airflow for real-world workflowsConnecting to APIs, CSVs, SQL, NoSQL, and cloud storageData validation, logging, and error handling for clean pipelinesIntroduction to orchestration, scheduling, and automationBest practices for modular, testable pipeline codePerfect For: Aspiring data engineers and developersData analysts looking to automate and scale workflowsBackend engineers working with data-heavy applicationsAnyone transitioning into data engineering roles", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/829/364/9798293649228_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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