
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-... more
| Publishes | Weekly | Episodes | 121 | Founded | 9 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

At Lyft, a small data engineering team supports dozens of scientists and analysts who tune driver pay configurations on demand, all under SOX controls. In this episode, Ken Obata, Senior Software Engineer at Lyft, joins Kenten Danas to walk through h... more
Running Airflow with a one-person data engineering team means every decision about cost, tooling, and best practices has to earn its keep. In this episode, Kenten sits down with Aniruddha Sengupta, Staff Data Engineer at Insignis, to talk through how... more
Scaling Airflow to over 1,000 active DAGs on a team of 3-4 engineers takes structure. In this episode, Kenten Danas talks with Matt Stavinga, Data Engineer at Idelic (now part of Descartes), about how his team standardized DAG creation and logging, b... more
Running LLMs over sensitive data means external APIs are off the table, but open-weight models still need reproducibility, validation, and a paper trail before downstream systems can depend on their output. In this episode, Kenten is joined by Chhaya... more
People also subscribe to these shows.





[disclaimer: review from former podcast host that has since been replaced by much better voices!]
If you’re wondering why a data platform and team is important to everyone - from the World Series champion Texas Rangers to worldwide casinos like Wynn to financial services companies - look no further. The techniques
Loved the show, it helped me wrap my head around most of Airflow’s concepts and how to use different constructs correctly.
The people invited were top quality and very involved in Airflow development and usage.
I had kept hearing folks talk about airflow, and stumbled across the astronomer podcast as I began trying to learn more. I’ve been quite impressed so far, and am hoping to add airflow to my toolkit
Very helpful to hear how industry leaders are using Airflow!
If you're new to the field and want to learn techniques, tools, and best practices, this is a great place to start.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #110 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
The show centers on practical, real-world use of Apache Airflow in data engineering and AI contexts, with episodes ranging from migrations of legacy schedulers to large-scale enterprise data platforms, to building AI-powered workflows and governance around data assets. Guests and topics frequently emphasize orchestration strategies, observability, security, and cost management, often highlighting how managed services and integrations (e.g., Astronomer/Astro, DBT, Cosmos) enable scalable, production-ready pipelines. A standout trait is the heavy focus on concrete, actionable patterns—like DAG design, event-driven scheduling, and AI-enabled tooling—while maintaining a strong sense of community through community-driven updates and open-source ... more
Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with this podcast:
1. Talk Python To Me
2. The a16z Show
3. The Real Python Podcast
4. The Pragmatic Engineer
5. Darknet Diaries
this podcast launched 9 years ago and published 121 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on this podcast include:
1. Aniruddha Sengupta
2. Matt Stavinga
3. Chayank Jain
4. Anish Giri
5. Lucas Trubiano
6. Kumuda Sreenivasa
7. Ivana Isailovic
8. Antonello Benedetto
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.