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PODCAST

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

Welcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. Podcast Webpage:

technology

All Episodes

19:04

Scaling Airflow for Enterprise Data Platforms at...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/10/02

PepsiCo’s data platform drives insights across finance, marketing and data science. Delivering stability, scalability and developer delight is central to its success, and engineering leadership plays a key role in making this possible.In this episode, Kunal Bhattacharya, Senior Manager of Data Platform Engineering at PepsiCo, shares how his team manages Airflow at scale while ensuring security, performance and cost efficiency.Key Takeaways:00:00 Introduction.02:31 Enabling developer delight by

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24:09

Building a Unified Data Platform at Pattern with...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/09/25

The orchestration of data workflows at scale requires both flexibility and security. At Pattern, decoupling scheduling from orchestration has reshaped how data teams manage large-scale pipelines.In this episode, we are joined by William Graham, Senior Data Engineer at Pattern, who explains how his team leverages Apache Airflow alongside their open-source tool Heimdall to streamline scheduling, orchestration and access management.Key Takeaways:00:00 Introduction.02:44 Structure of Pattern’s data

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25:34

How Astronomer Turns Proactive Monitoring Into...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/09/18

The evolution of Airflow continues to shape data orchestration and monitoring strategies. Leveraging it beyond traditional ETL use cases opens powerful new possibilities for proactive support and internal operations.In this episode, we are joined by Collin McNulty, Sr. Director of Global Support at Astronomer, who shares insights from his journey into data engineering and the lessons learned from leading Astronomer’s Customer Reliability Engineering (CRE) team.Key Takeaways:00:00 Introduction.03:07

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19:26

Overcoming Data Engineering Challenges at Daiichi...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/09/11

The shift to a unified data platform is reshaping how pharmaceutical companies manage and orchestrate data. Establishing standards across regions and teams ensures scalability and efficiency in handling large-scale analytics.In this episode, Evgenii Prusov, Senior Data Platform Engineer of Daiichi Sankyo Europe GmbH, joins us to discuss building and scaling a centralized data platform with Airflow and Astronomer.Key Takeaways:00:00 Introduction.02:49 Building a centralized data platform for 15

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23:05

Building a Data-Driven Beauty and Wellness...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/09/04

StyleSeat is revolutionizing how beauty and wellness professionals grow their businesses through data-driven tools. From streamlining scheduling to optimizing marketing, their platform empowers professionals to focus on their craft while expanding their client base.In this episode, Paschal Onuorah, Senior Data Engineer at StyleSeat, shares how the company leverages Airflow, dbt, and Cosmos to drive marketplace intelligence, improve client connections and deliver measurable growth for

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22:25

Building the Future of Airflow Execution at...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/08/28

The evolution of orchestration in Airflow continues with innovations that address both scalability and security. From improving executor reliability to enabling remote execution, these advancements reshape how organizations manage data pipelines.In this episode, we’re joined by Ian Buss, Principal Software Engineer at Astronomer, and Piotr Chomiak, Principal Product Manager at Astronomer, who share insights into the Astro Executor and remote execution.Key Takeaways:00:00 Introduction.04:13 How

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24:17

Scaling On-Prem Airflow With 2,000 DAGs at Numberly...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/08/21

Scaling 2,000+ data pipelines isn’t easy. But with the right tools and a self-hosted mindset, it becomes achievable.In this episode, Sébastien Crocquevieille, Data Engineer at Numberly, unpacks how the team scaled their on-prem Airflow setup using open-source tooling and Kubernetes. We explore orchestration strategies, UI-driven stakeholder access and Airflow’s evolving features.Key Takeaways:00:00 Introduction.02:13 Overview of the company’s operations and global presence.04:00 The tech stack and

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21:32

How Moniepoint Group Uses Airflow for Exposure...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/08/14

Managing financial data at scale requires precise orchestration and proactive monitoring to maintain operational efficiency.In this episode, we are joined by Adeolu Adegboye, Data Engineer at Moniepoint Group, who shares how his team uses data pipelines and workflow automation to manage high volumes of transactions, ensure timely alerts and support diverse stakeholders across the business.Key Takeaways:(00:00) Introduction.(02:48) The role of data engineering in supporting all business

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28:02

Inside Bosch’s Airflow 3 Revolution: Remote Execution...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/08/07

The evolution of Airflow has reached a milestone with the introduction of remote execution in Airflow 3, enabling flexible orchestration across distributed environments.In this episode, Jens Scheffler, Test Execution Cluster Technical Architect at Bosch, shares insights on how his team’s need for large-scale, cross-environment testing influenced the development of the Edge Executor and shaped this major release.Key Takeaways:(02:39) The role of remote execution in supporting large-scale testing

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31:24

Inside Modern Data Infrastructure at Massdriver with...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/07/31

Managing modern data platforms means navigating a web of complex infrastructure, competing team needs and evolving security standards. For data teams to truly thrive, infrastructure must become both accessible and compliant without sacrificing velocity or reliability.In this episode, we’re joined by Cory O’Daniel, CEO and Co-Founder at Massdriver, and Jacob Ferriero, Senior Software Engineer at Astronomer, to unpack what it takes to make data platform engineering scalable, sustainable and secure

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21:55

The Future of Airflow Telemetry at Metyis with Bolke...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/07/17

Telemetry has the potential to guide the future of Airflow, but only if it’s implemented transparently and with community trust.In this episode, we’re joined by Bolke de Bruin, Director at Metyis and a long-time Airflow PMC member. Bolke discusses how telemetry has been handled in the past, why it matters now and what it will take to get it right.Key Takeaways:(03:20) The role of foundations in establishing credibility and sustainability.(04:52) Why data collection is critical to open-source project

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22:28

Transforming the Airflow UI for Cloudera’s Users with...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/07/10

Contributing to open-source projects can be daunting, but it can also unlock unexpected innovation. This episode showcases how one engineer’s journey with Apache Airflow led to impactful UI enhancements and infrastructure solutions at scale. Shubham Raj, Software Engineer II at Cloudera, shares how his contributions helped shape Airflow 3.0, including an intuitive drag-and-drop DAG editor and a new REST API endpoint for managing XComs.Key Takeaways:(02:30) Day-to-day responsibilities building

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19:34

Streamlining Thousands of Data Pipelines at Lyft with...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/07/07

Managing data pipelines at scale is not just a technical challenge. It is also an organizational one. At Lyft, success means empowering dozens of teams to build with autonomy while enforcing governance and best practices across thousands of workflows.In this episode, we speak with Yunhao Qing, Software Engineer at Lyft, about building a governed data-engineering platform powered by Airflow that balances flexibility, standardization and scale.Key Takeaways:(03:17) Supporting internal teams with a

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22:19

Transforming Customer Education in Data Engineering...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/06/26

Understanding the complexities of Apache Airflow can be daunting for newcomers and seasoned data engineers. But with the right guidance, mastering the tool becomes an achievable milestone.In this episode, Marc Lamberti, Head of Customer Education at Astronomer, joins us to share his journey from Udemy instructor to driving education at Astronomer, and how he's helping over 100,000 learners demystify Airflow.Key Takeaways:(02:36) Early exposure to Airflow while addressing inefficiencies in data

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30:09

Embracing Data Mesh and SQL Sensors for Scalable...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/06/19

The flexibility of Airflow plays a pivotal role in enabling decentralized data architectures and empowering cross-functional teams.In this episode, we speak with Alberto Crespi, Data Architect at lastminute.com, who shares how his team scales Airflow across 12 teams while supporting both vertical and horizontal structures under a data mesh approach.Key Takeaways:(02:17) Defining responsibilities within data architecture teams.(04:15) Consolidating multiple orchestrators into a single

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23:21

The AI-Ready Pipeline: Reimagining Airflow at Veyer®...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/06/12

Innovation in orchestration is redefining how engineers approach both traditional ETL pipelines and emerging AI workloads. Understanding how to harness Airflow’s flexibility and observability is essential for teams navigating today’s evolving data landscape.In this episode, Anu Pabla, Principal Engineer at The ODP Corporation, joins us to discuss her journey from legacy orchestration patterns to AI-native pipelines and why she sees Airflow as the future of AI workload orchestration.Key

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24:44

Streamlining AI and ML Operations at IBM with BJ...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/06/05

The orchestration layer is foundational to building robust AI- and ML-powered data pipelines, especially in complex hybrid enterprise environments. IBM’s partnership with Astronomer reflects a strategic alignment to simplify and scale Airflow-based workflows across industries.In this episode, we’re joined by IBM’s Senior Product Manager, BJ Adesoji, and Chief Marketing Officer, Ryan Yackel. We discuss how IBM customers are using Airflow in production, the challenges they face at scale and what the

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31:02

Inside the Custom Framework for Managing Airflow Code...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/05/29

Efficient orchestration and maintainability are crucial for data engineering at scale. Gil Reich, Data Developer for Data Science at Wix, shares how his team reduced code duplication, standardized pipelines, and improved Airflow task orchestration using a Python-based framework built within the data science team.In this episode, Gil explains how this internal framework simplifies DAG creation, improves documentation accuracy, and enables consistent task generation for machine learning pipelines. He

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22:13

Modernizing Legacy Data Systems With Airflow at...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/05/22

Legacy architecture and AI workloads pose unique challenges at scale, especially in a global enterprise with complex data systems. In this episode, we explore strategies to proactively monitor and optimize pipelines while minimizing downstream failures.Adonis Castillo Cordero, Senior Automation Manager at Procter & Gamble, joins us to share actionable best practices for dependency mapping, anomaly detection and architecture simplification using Apache Airflow.Key Takeaways:(03:13) Integrating

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38:54

Building an End-to-End Data Observability System at...

The Data Flowcast: Mastering Apache Airflow ® for... ·

2025/05/15

Building reliable data pipelines starts with maintaining strong data quality standards and creating efficient systems for auditing, publishing and monitoring. In this episode, we explore the real-world patterns and best practices for ensuring data pipelines stay accurate, scalable and trustworthy.Joseph Machado, Senior Data Engineer at Netflix, joins us to share practical insights gleaned from supporting Netflix’s Ads business as well as over a decade of experience in the data engineering space. He

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95 results

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