Be Our Guest
Interested in being a guest on The Data Flowcast? Fill out the form and we will be in touch.
Airflow in Action: Powering Instacart's Complex Ecosystem
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From ETL to Airflow: Transforming Data Engineering at Deloitte Digital with Raviteja Tholupunoori
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A Deep Dive Into the 2025 State of Airflow Survey Results with Tamara Fingerlin of Astronomer
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Apache Airflow’s Role in the Rise of DataOps with Andy Byron
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The Software Risk That Affects Everyone and How To Address It with Michael Winser and Jarek Potiuk
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Building Scalable ML Infrastructure at Outerbounds with Savin Goyal
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Customizing Airflow for Complex Data Environments at Stripe with Nick Bilozerov and Sharadh Krishnamurthy
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Harnessing Airflow for Data-Driven Policy Research at CSET with Jennifer Melot
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Leveraging Airflow To Build Scalable and Reliable Data Platforms at 99acres.com with Samyak Jain
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Hybrid Testing Solutions for Autonomous Driving at Bosch with Jens Scheffler and Christian Schilling
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Overcoming Airflow Scaling Challenges at Monzo Bank with Jonathan Rainer
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Orchestrating Analytics and AI Workflows at Telia with Arjun Anandkumar
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The Role of Airflow in Finance Transformation at Etraveli Group with Mihir Samant
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Inside Ford’s Data Transformation: Advanced Orchestration Strategies with Vasantha Kosuri-Marshall
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Powering Finance With Advanced Data Solutions at Ramp with Ryan Delgado
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Exploring the Power of Airflow 3 at Astronomer with Amogh Desai
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Using Airflow To Power Machine Learning Pipelines at Optimove with Vasyl Vasyuta
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Maximizing Business Impact Through Data at GlossGenius with Katie Bauer
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Optimizing Large-Scale Deployments at LinkedIn with Rahul Gade
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How Uber Manages 1 Million Daily Tasks Using Airflow, with Shobhit Shah and Sumit Maheshwari
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Building Resilient Data Systems for Modern Enterprises at Astrafy with Andrea Bombino
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Inside Airflow 3: Redefining Data Engineering with Vikram Koka
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Building a Data-Driven HR Platform at 15Five with Guy Dassa
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The Intersection of AI and Data Management at Dosu with Devin Stein
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AI-Powered Vehicle Automation at Ford Motor Company with Serjesh Sharma
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From Task Failures to Operational Excellence at GumGum with Brendan Frick
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From Sensors to Datasets: Enhancing Airflow at Astronomer with Maggie Stark and Marion Azoulai
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Mastering Data Orchestration with Airflow at M Science with Ben Tallman
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Enhancing Business Metrics With Airflow at Artlist with Hannan Kravitz
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Cutting-Edge Data Engineering at Teya with Alexandre Magno Lima Martins
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Airflow Strategies for Business Efficiency at Campbell with Larry Komenda
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How Laurel Uses Airflow To Enhance Machine Learning Pipelines with Vincent La and Jim Howard
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How Vibrant Planet's Self-Healing Pipelines Revolutionize Data Processing
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The Power of Airflow in Modern Data Environments at Wynn Las Vegas with Siva Krishna Yetukuri
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AI & Data Engineering: The Future with Airflow
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Powering the Texas Rangers World Series Win With AI on Airflow with Alexander Booth
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→ Welcome to The Data Flowcast: Mastering Airflow for Data Engineering & 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.
Kenten Danas, a data engineer by training, leads the Developer Relations team at Astronomer.
Her team conducts workshops and webinars, creates comprehensive guides and blog posts, and develops various resources aimed at assisting individuals in effectively utilizing Apache Airflow® for their data workflows.
When she isn't helping people get the most out of their Airflow experience, she's typically outside trail running or skiing.
As the Head of Customer Education at Astronomer, Marc Lamberti spearheads educational initiatives.
With a track record as a Best Selling Instructor on Udemy, Marc leverages his expertise as a data engineer to educate the Airflow Community on optimal strategies for maximizing the workflow management system's potential.
Engaging conversations with leading minds in the Airflow space, providing actionable insights and valuable perspectives for daily use and application.
Individuals and companies interested in and using Airflow — managers, team leads and practitioners.
Your recording session will be 30 minutes long so that we have adequate time for tech checks & topic alignment before recording.
The final episode will be ~20-30 minutes long.
The show is primarily audio, although we do record video when possible for YouTube and social media clips. It would be great to have you on camera, if possible. If not, no worries, and we can focus on only recording audio.
We will record your interview via Zoom. Please make sure to have Zoom installed on your computer prior to the interview.
The podcast is hosted on Apple Podcasts, Spotify, YouTube and all other major podcast directories.
To get involved with an episode, a guest should expect:
After the episode goes live, you will receive social media assets that may include social videos, audiograms or quote blocks. You’re strongly encouraged to share these on your social platforms.
An episode will typically be published 30–90 days from the date of recording, depending on the number of episodes we have in the pipeline.
We will deliver social assets to every participant of the episode. We ask that you please share these on your primary social channels.
Our team would love the opportunity to partner with your marketing department to co-promote the episode. We typically collaborate in the following ways:
Interested in being a guest on The Data Flowcast? Fill out the form and we will be in touch.
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