Data Pipelines with Apache Airflow, Second Edition

• This is an all-encompassing guide on Airflow, from the baby steps to hardcore DevOps stuff.

Pavel Filatov, Data Engineer, flatmap.blog

• It’s the perfect introduction to Airflow. Although it seems to assume a reader with very little development experience, it still touches all the important topics and address most questions very efficiently.

Gregor Zurowski, Founding Engineer, ResearchHub

Julian de Ruiter is a Data + AI engineering lead known for transforming messy pipelines into scalable platforms. With global consulting experience, Julian brings analytical rigor and clear storytelling to every page. He distills advanced engineering tactics into practical guidance that accelerates reader confidence.

Ismael Cabral is a machine-learning engineer and renowned Airflow trainer trusted by companies across four continents. Drawing on cross-industry projects, Ismael delivers concise, hands-on advice readers can apply the same day. He turns complex workflow concepts into simple patterns that unlock rapid innovation.

Kris Geusebroek is a data-engineering consultant and maintainer of Whirl, the open-source Airflow testing toolkit. Kris blends deep technical skill with a coach’s mindset, helping teams adopt disciplined engineering habits. He channels that expertise into repeatable methods that keep pipelines reliable and testable.

Daniel van der Ende is a veteran data engineer and early Airflow contributor who has worked on diverse on-prem and cloud setups. Daniel’s pragmatic voice demystifies community-driven features and hidden pitfalls. He packages frontline lessons into actionable tips that save readers weeks of trial and error.

Bas Harenslak is a staff architect at Astronomer, guiding enterprises in large-scale Airflow deployments. With a software-engineering background, Bas writes with precision, warmth, and strategic insight. He translates architectural puzzles into elegant solutions that future-proof reader infrastructure.