Data Engineer with Python: Build Powerful Data Pipelines & Master Big Data

Unlock the full potential of data engineering with Data Engineer with Python, a practical and engaging guide designed to take you from beginner to pro in managing and processing massive datasets. This book offers a hands-on approach to mastering the essential tools and techniques for designing scalable, efficient data pipelines using Python.
Learn the fundamentals of data architecture, ETL (Extract, Transform, Load) workflows, and data modeling.
Explore how to automate data pipelines, perform data cleaning, and integrate multiple data sources seamlessly.
Gain expertise in Python libraries and frameworks tailored for big data, including Pandas, Apache Airflow, and more.
Understand monitoring, logging, and optimizing pipelines for real-time and batch processing.
Developed by experts with real-world projects and clear examples to enhance your learning experience.