Pipeline Pro: Building Production ETL, Batch, and Streaming Data Pipelines with Python and Airflow

By Miguel Farmer

Design, orchestrate, and scale reliable data pipelines for real world systems

Data is only valuable when it flows.

From ingestion to transformation and delivery, modern systems depend on pipelines that move data efficiently, reliably, and at scale.

"Pipeline Pro" is a practical, engineering focused guide to building production ready data pipelines using Python and orchestration tools like Apache Airflow.

This book teaches you how to design pipelines that are robust, observable, and built for real workloads.

Why production data pipelines matter

Without well designed pipelines, systems suffer from:

broken data flowsunreliable processinglack of visibility into failurespoor scalabilityinconsistent data quality

This book shows you how to build pipelines that solve these challenges.

What you will learnfundamentals of ETL and ELT pipelinesbatch vs streaming architecturesdesigning data workflows with Airflowbuilding and scheduling DAGsdata ingestion and transformation strategieshandling failures and retriesmonitoring, logging, and observabilityscaling pipelines for large datasetsdata validation and quality checksintegrating pipelines with data warehouses and APIs
From raw data to reliable systems

Throughout the book, you will learn how to:

design end to end data pipelinesorchestrate complex workflowsprocess data in batch and real timebuild fault tolerant systemsmonitor and debug pipelinesoptimize performance and cost

Each chapter focuses on practical implementation.

Practical applicationsanalytics data pipelinesreal time data streaming systemsETL pipelines for business intelligencedata integration platformsmachine learning data pipelines

These examples reflect real production scenarios.

Who this book is fordata engineersbackend developersmachine learning engineersDevOps engineers working with dataprofessionals building data systems

If you want to build data pipelines that are reliable, scalable, and production ready, this book provides the roadmap.

Design clean flows.
Orchestrate with confidence.
Deliver data that works.

• Format: Paperback
• Language: English
• ISBN: B0GYQL5HY8
• ISBN13: 9798258834829
• Release Date: May 2026
• Publisher: Independently Published
• Length: 430 Pages
• Weight: 1.26 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"