"Data Engineering with Python: Build Efficient Data Pipelines with Python, SQL, and Airflow"

Unlock the potential of your data with "Data Engineering with Python," the definitive guide for anyone looking to excel in data-driven decision-making. Whether you're an aspiring data engineer or a professional seeking to build robust data pipelines, this book offers you an in-depth journey through the essential aspects of data engineering. From data collection, storage, and transformation to building and optimizing pipelines using Python, SQL, and Apache Airflow, this book provides hands-on, real-world examples and best practices for success. Learn to manage big data, integrate machine learning into data workflows, and harness cloud platforms like AWS to scale your infrastructure. By the end, you'll have the tools to transform raw data into valuable insights, setting you up for a thriving career in one of today's fastest-growing fields.