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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

19:30

The Role of Airflow in Building Smarter ML Pipelines...

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

2025/12/11

The integration of data orchestration and machine learning is critical to operational efficiency in healthcare tech. Vivian Health leverages Airflow to power both its ETL pipelines and ML workflows while maintaining strict compliance standards.Max Calehuff, Lead Data Engineer at Vivian Health, joins us to discuss how his team uses Airflow for ML ops, regulatory compliance and large-scale data orchestration. He also shares insights into upgrading to Airflow 3 and the importance of balancing

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34:24

Scaling Airflow to 11,000 DAGs Across Three Regions...

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

2025/12/04

The evolution of Intercom’s data infrastructure reveals how a well-built orchestration system can scale to serve global needs. With thousands of DAGs powering analytics, AI and customer operations, the team’s approach combines technical depth with organizational insight.In this episode, András Gombosi, Senior Engineering Manager of Data Infra and Analytics Engineering, and Paul Vickers, Principal Engineer, both at Intercom, share how they built one of the largest Airflow deployments in production

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23:10

How Covestro Turns Airflow Into a Simulation Toolbox...

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

2025/11/20

Building scalable, reproducible workflows for scientific computing often requires bridging the gap between research flexibility and enterprise reliability.In this episode, Anja MacKenzie, Expert for Cheminformatics at Covestro, explains how her team uses Airflow and Kubernetes to create a shared, self-service platform for computational chemistry.Key Takeaways:00:00 Introduction.06:19 Custom scripts made sharing and reuse difficult.09:29 Workflows are manually triggered with user traceability.10:38

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21:16

Building Secure Financial Data Platforms at...

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

2025/11/13

The use of Apache Airflow in financial services demands a balance between innovation and compliance. Agile Engine’s approach to orchestration showcases how secure, auditable workflows can scale even within the constraints of regulatory environments.In this episode, Valentyn Druzhynin, Senior Data Engineer at AgileEngine, discusses how his team leverages Airflow for ETF calculations, data validation and workflow reliability within tightly controlled release cycles.Key Takeaways:00:00

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23:48

How Redica Transformed Their Data With Airflow and...

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

2025/11/06

The life sciences industry relies on data accuracy, regulatory insight and quality intelligence. Building a unified system that keeps these elements aligned is no small feat.In this episode, we welcome Shankar Mahindar, Senior Data Engineer II at Redica Systems. We discuss how the team restructures its data platform with Airflow to strengthen governance, reduce compliance risk and improve customer experience.Key Takeaways:00:00 Introduction.01:53 A focused analytics platform reduces compliance risk

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24:28

How Airflow and AI Power Investigative Journalism at...

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

2025/10/30

The Financial Times leverages Airflow and AI to uncover powerful stories hidden within vast, unstructured data.In this episode, Zdravko Hvarlingov, Senior Software Engineer at the Financial Times, discusses building multi-tenant Airflow systems and AI-driven pipelines that surface stories that might otherwise be missed. Zdravko walks through entity extraction and fuzzy matching, linking the UK Register of Members’ Financial Interests with Companies House, and how this work cuts weeks of manual

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29:36

Inside Vinted’s Code-Generated Airflow Pipelines with...

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

2025/10/23

The shift from monolithic to decentralized data workflows changes how teams build, connect and scale pipelines.In this episode, we feature Oscar Ligthart, Lead Data Engineer, and Rodrigo Loredo, Lead Analytics Engineer, both at Vinted, as we unpack their YAML-driven abstraction that generates Airflow DAGs and standardizes cross-team orchestration.Key Takeaways:00:00 Introduction.05:28 Challenges of decentralization.06:45 YAML-based generator standardizes pipelines and dependencies.12:28 Declarative

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28:32

Transforming Data Pipelines at XENA Intelligence with...

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

2025/10/16

The shift from simple cron jobs to orchestrated AI-powered workflows is reshaping how startups scale. For a small team, these transitions come with unique challenges and big opportunities.In this episode, Naseem Shah, Head of Engineering at Xena Intelligence, shares how he built data pipelines from scratch, adopted Apache Airflow and transformed Amazon review analysis with LLMs.Key Takeaways:00:00 Introduction.03:28 The importance of building initial products that support growth and investment.06:16

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24:03

Scaling Geospatial Workflows With Airflow at Overture...

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

2025/10/09

Using Airflow to orchestrate geospatial data pipelines unlocks powerful efficiencies for data teams. The combination of scalable processing and visual observability streamlines workflows, reduces costs and improves iteration speed.In this episode, Alex Iannicelli, Staff Software Engineer at Overture Maps Foundation, and Daniel Smith, Senior Solutions Architect at Wherobots, join us to discuss leveraging Apache Airflow and Apache Sedona to process massive geospatial datasets, build reproducible

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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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84 results

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