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Data Engineering Central Podcast

Data Engineering in Real Life
Data Engineering
Apache Iceberg
Delta Lake
Duckdb
Spark
Data Quality
Databricks
Artificial Intelligence
Cloud Computing
Data Modeling
AI and Machine Learning
Lake House
Pandas
Open Source
Streaming Technology
Python
Polars
Software Engineering
ETL
Streaming Technologies

Long Live the Data Engineer. No holds barred. Talking about Data Engineering news, topics, and general mayhem. dataengineeringcentral.substack.com

PublishesWeeklyEpisodes38Founded2 years ago
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Artwork for Data Engineering Central Podcast

Latest Episodes

AI can now write SQL, generate Python, review pull requests, and build entire applications with a few well-crafted prompts. Yet despite all of that progress, data engineering still feels oddly resistant to the full AI revolution. Pipelines break. Dat... more

When people think about starting a software company, they usually imagine raising venture capital, hiring engineers, and growing a team as quickly as possible.

Michael Drogalis chose a different path.

After helping build technology in the Kafka eco... more

The creator of Pandas and co-creator of Apache Arrow, Wes McKinney, joins the Data Engineering Central Podcast for an in-depth conversation about how modern data engineering came to exist, where AI is taking software development, and why good enginee... more

What happens when someone who started programming on a Commodore 64 watches AI reshape the entire data industry?

In this episode of the Data Engineering Central Podcast, I sit down with Dave Langer to explore nearly three decades of experience acros... more

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Recent Guests

Michael Drogalis
Software engineer turned solo founder, founder of ShadowTraffic
ShadowTraffic
Episode: What Happens When a Software Engineer Builds a Company Alone?
Wes McKinney
Creator of the Python Pandas project; entrepreneur and AI/developer tooling leader
Ken Software / Posit / Ursa Computing (Varied over career)
Episode: The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
David Langer
Data engineering veteran with experience at Microsoft and as a VP of Analytics; author and educator
Independent; Bozeman, Montana
Episode: From COBOL to Copilot: 30 Years of Data, BI, and AI with David Langer
David Jaitillake
Data engineer and entrepreneur with two decades of experience
Avora, Delphi, Cube, Quarry
Episode: Semantic Layers, Agents, and the Future of Analytics
Ethan Urbanski
Data Analytics Architect at Eli Lilly, Delta RS maintainer
Eli Lilly
Episode: The Future of the Lakehouse: Delta Lake, Rust, and Data Platforms at Scale
Jacob Matson
Engineer at MotherDuck, building a Cloud Data Warehouse on top of DuckDB
MotherDuck
Episode: Data, AI, and DuckDB
Ben Rogojan
Seattle Data guy, former Facebook data engineer
Independent / Consulting
Episode: Why I Left Facebook to Work for Myself
Matthew Housley
Author and data engineer; co-author of Fundamentals of Data Engineering; host of It's About Data podcast
Independent / Author and podcaster
Episode: Academic → CTO: What Actually Matters in Data (Matthew Housley)
Robert Pack
Databricks Developer Relations, formerly BASF data leader
Databricks
Episode: From Industrial Data at BASF to Delta Lake Committer

Hosts

Dan Beach
Host of the Data Engineering Central Podcast
Dan Beecher
Host of the Data Engineering Central Podcast

Reviews

4.6 out of 5 stars from 5 ratings
  • Tough to Listen

    The topic of this podcast interests me, but the host of this podcast speaks too awkwardly in a bored-sounding tone. No offense intended, but I hope that the host can spice up his presentation a bit.

    Apple Podcasts
    3
    coolfactor
    Canada6 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Guests are typically senior practitioners with real-world experience.
Listeners appreciate the technical depth and practical tooling discussions.
Some listeners wish for a more energetic delivery.
The show is valuable for career and tooling guidance in data engineering.

Chart Rankings

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Apple Podcasts
#150
Canada/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
Q: What is your view on the state of data tooling and the next big challenges?
The next challenges involve multimodal data stores and scalable, vendor-supported solutions for new data types in AI pipelines, avoiding every company reinventing the wheel and pushing toward production-grade, easy-to-use systems.
The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
Q: What do you think about the future role of AI in software engineering?
AI will amplify those with good taste and judgment; the focus will shift toward understanding software architecture and data systems, with humans guiding AI to design and implement robust solutions rather than replacing engineers entirely.
The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
Q: How did Arrow and Parquet come to be, and what impact did they have on the ecosystem?
Arrow was developed to create a universal, efficient memory format for tabular data, enabling faster transfers and interoperability; Parquet provided a durable on-disk columnar format. Together they enabled a wave of ecosystem growth and integration across engines like Spark and DuckDB.
The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
Q: What was the early motivation behind Pandas and its relationship to NumPy?
The motivation was to provide a Python-native data toolset that could bridge research and production, building on NumPy while addressing non-numeric data and usability, which later influenced the move toward Arrow as an in-memory foundation for broader data tooling.
The Creator of Pandas on AI, Apache Arrow, and the Future of Software Engineering
Q: Can you introduce yourself and give a high-level view of what you do?
Wes describes his journey from creating Pandas to leading open-source projects like Arrow, founding Datapad and Ursa Computing, and currently focusing on AI developer tooling at Ken Software and Posit, with an emphasis on scalable data systems and practical tooling for developers.

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Frequently Asked Questions About Data Engineering Central Podcast

What is Data Engineering Central Podcast about and what kind of topics does it cover?

A practical, practitioner-focused show that centers on data engineering in the modern cloud era. Episodes frequently explore the evolution of the data stack (lakehouses, streaming, and lightweight tooling), delving into real-world migrations, tooling choices (Snowflake, dbt, DuckDB, Polars), and the impact of AI on learning, development, and governance. Guests and hosts share career journeys, leadership insights, and pragmatic patterns for building maintainable data platforms, with an emphasis on developer happiness, observable systems, and aligning data work with business outcomes. A standout aspect is the mix of deep technical discussion with accessible storytelling around career strategy, education, and community-building in the data eng... more

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Which podcasts are similar to Data Engineering Central Podcast?

These podcasts share a similar audience with Data Engineering Central Podcast:

1. Practical AI
2. The Pragmatic Engineer
3. Super Data Science: ML & AI Podcast with Jon Krohn
4. Software Engineering Radio - the podcast for professional software developers
5. The Real Python Podcast

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Data Engineering Central Podcast launched 2 years ago and published 38 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data Engineering Central Podcast?

Recent guests on Data Engineering Central Podcast include:

1. Michael Drogalis
2. Wes McKinney
3. David Langer
4. David Jaitillake
5. Ethan Urbanski
6. Jacob Matson
7. Ben Rogojan
8. Matthew Housley

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