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Hosted by Astronomer · 🇺🇸 US · EN · 106 episodes
Established thought leaders with verified media credentials.
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: https://www.astronomer.io/podcast/
Astronomer hosts The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI, a technology show with 106 episodes published.
How do you orchestrate AI workflows when LLM outputs are non-deterministic and evaluation costs can quietly exceed compute costs? Shawn Feng, Head of Data at [Firework]( firework.com ), joins the show to walk through how
Saks Global runs one of the largest retail data operations in the US, with around 8 million SKUs flowing across point-of-sale, e-commerce, catalog, and fraud detection systems into Snowflake. In this episode, [Shailesh K
Airflow 3.3 is here, with a set of features to help with the messy realities of production pipelines: persisting state across retries, reacting intelligently to different failure types, and partitioning assets by more th
Running Apache Airflow at a major pension fund means balancing strict compliance requirements with the need to move fast on new capabilities. On this episode, Kowsy Narayan, Cloud Data Platform Lead, Data Engineering at
Skimlinks runs a reporting platform that serves around 2,000 weekly publisher users, and the data infrastructure behind it runs on Airflow. In this episode, Julian Larralde, Director of Data Engineering at Skimlinks, wal
JLR is the UK's largest automotive manufacturer, behind brands like Range Rover, Jaguar, Defender, and Discovery. In this episode, Najeeb Sulaiman, Senior Data Engineer at JLR, walks through how Airflow orchestrates data
Running Airflow at the scale of a national retailer means more than just scheduling. It means giving non-engineers a path to ship DAGs, and classifying thousands of runs to know which ones need attention. In this episode
In the data engineering world, the difference between a pipeline that works and one that's truly production-ready often comes down to a handful of deliberate decisions. William Orgertrice III , Data Engineer at Cargill ,
In this episode, we take a step back from implementation-specific topics to explore what it actually takes to build a career in data engineering — and how AI is reshaping that path. Shrividya Hegde , a data and AI engine
We explore how a third-party logistics platform built its entire data orchestration layer on Airflow, and what that makes possible for developer teams and merchant-facing products alike. Filip Kunčar , Platform Director
Buğra Öztürk , Senior Data Engineer at Mollie and Committer and PMC member on the Apache Airflow project, joins us to walk through Airflow CTL — what it is, how it differs from the existing Airflow CLI and where it is he
In this episode, we explore the newly released Apache Airflow common AI provider — what problem it solves, how it was built and what's coming next. Kaxil Naik , Senior Director of Engineering at Astronomer and Apache Air
Aviation data pipelines run on strict 28-day publication cycles, and the margin for error is zero. In this episode, we're joined by Samantha Blaney Cuevas , Software Engineer at Jeppesen ForeFlight , to explore how her t
We introduce Airflow 3.2 and its updates for teams that build and operate data pipelines. Astronomer ’s Head of Customer Education, Marc Lamberti , and Senior Manager of Developer Relations, Kenten Danas , break down wha
Lessons from the past decade of data engineering reveal how much the ecosystem has changed and what has stayed surprisingly consistent. In this episode, Benjamin Rogojan , Owner and Data Consultant at Seattle Data Guy ,
Data quality is not optional when you manage credit data at scale. In this episode, Ashir Alam , Senior Data Engineer at Credit Karma , joins us to share how his team acts as the gatekeeper for credit data ingestion, how
Modern Airflow isn’t just orchestration. It's a contribution. In this episode, we explore how open source investment drives real performance gains and deeper observability. We’re joined by Christos Bisias , Open Source S
In this episode, Karan Alang , Principal Software Engineer at Versa Networks , joins the conversation to discuss how Airflow can be used to automate threat intelligence in modern cybersecurity environments. He explains t
In this episode, we explore how teams scale Apache Airflow in complex environments and what it takes to make orchestration work across many stakeholders. We look at real-world challenges around visibility, ownership and
Modern data orchestration at scale demands reliability, speed and thoughtful adoption of new tooling. As organizations grow, keeping pipelines efficient while supporting more teams becomes a critical challenge. In this e
Daniel Smith
consultant and chair of the BTS workforce committee · Stafford County Public Schools
1 appearance on this show
Andrea Bombino
Astrafy
2 appearances on this show
Valentyn Druzhynin
AgileEngine
1 appearance on this show
Kunal Bhattacharya
PepsiCo
1 appearance on this show
Jens Scheffler
Bosch
1 appearance on this show
Yunhao Qing
Lyft
1 appearance on this show
Raviteja Tholupunoori
Deloitte Digital
1 appearance on this show
Tamara Fingerlin
Astronomer
1 appearance on this show
Savin Goyal
Outerbounds
1 appearance on this show
Vasantha Kosuri-Marshall
Ford
1 appearance on this show
Ryan Delgado
Ramp
1 appearance on this show
Brendan Frick
GumGum
1 appearance on this show
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The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI is hosted by Astronomer. The show is categorised under technology and has published 106 episodes.
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI has published 106 episodes.
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