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Artwork for Data Engineering Podcast

Data Engineering Podcast

Tobias Macey
Data Engineering
Machine Learning
Data Quality
Data Management
Data Governance
Data Migration
Generative AI
Data Architecture
Datafold
Cloud Computing
Data Integration
Kafka
Artificial Intelligence
Data Lakes
Data Warehousing
Data Modeling
AI Systems
Software Engineering
DBT
Business Intelligence

This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

PublishesWeeklyEpisodes514Founded10 years ago
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EducationTechnology

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Artwork for Data Engineering Podcast

Latest Episodes

Summary 

In this episode Prukalpa Sankar, co-founder of Atlan, talks about what it takes to build a “context flywheel” for AI agents in data-intensive organizations. She explained why model intelligence alone isn’t enough to make AI useful in product... more

Summary 

In this episode Jevin Maltais talks about the practical realities of building reliable, product-focused streaming systems with Kafka. Jevin shares lessons from roles at Zapier, Humi, and Clio, where real-time synchronization, customer data u... more

YouTube

Summary 

In this episode Shravan Gunda, founder and CEO of Kaarvi AI, talks about building an AI-native, agent-driven data platform designed to eliminate the janitorial work that consumes most data teams. He explores Kaarvi’s multi-agent architecture... more

YouTube

Summary

In this episode Weimo Liu, co‑founder of PuppyGraph, talks about the engineering behind their “zero-copy” graph querying engine for lakehouse and database sources. He explores how PuppyGraph lets you run Cypher and Gremlin traversals and grap... more

YouTube

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Recent Guests

Jevin Maltais
Fractional CTO, staff engineer type; led data/ETL at multiple companies
TypeStream
Episode: Holding Kafka Right: Product-Friendly Streaming with TypeStream
Shravan Gunda
CEO and founder of Kaarvi AI
Kaarvi AI
Episode: Text to Data Products: Kaarvi’s End-to-End AI for Ingestion, Quality, and Dashboards
Weimo Liu
Co-founder of PuppyGraph, expert in graph analytics and zero-copy ETL
PuppyGraph
Episode: Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture
Robert Nishihara
Co-founder of Anyscale, co-creator of Ray
Anyscale
Episode: Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Gleb Mezhanskiy
CEO and co-founder of Datafold
Datafold
Episode: The AI-First Data Engineer: 10–50x Productivity and What Changes Next
Himant Goyal
Senior Product Manager at Salesforce
Salesforce
Episode: Treat Metering Like Finance: Building Data Platforms for Consumption Economics
Rowan Cockett
CEO and co-founder of CurveNote; co-founder of Continuous Science Foundation
CurveNote; Continuous Science Foundation
Episode: Beyond the PDF: Rowan Cockett on Reproducible, Composable Science
Raj Shukla
CTO at SymphonyAI; vertical AI company focusing on domain-specific AI agents and models
SymphonyAI
Episode: Beyond Prompts: Practical Paths to Self‑Improving AI
Jamie Knowles
Product Director for ER Studio
ER Studio
Episode: From Models to Momentum: Uniting Architects and Engineers with ER/Studio

Host

Tobias Macey
Host of the data-focused interview show, guiding conversations with industry leaders and tool developers.

Reviews

4.6 out of 5 stars from 394 ratings
  • All of the episodes are promotions of tools

    No one absolutely no one goes in depth of anything in this podcast, everyone only come and talk about their tools.

    Apple Podcasts
    2
    masterbatters
    United States10 months ago
  • Great guests and topics

    Always worth listening to understand what problems people are dealing with and considering how I can apply these lessons to my data engineering.

    Apple Podcasts
    5
    Mbarton98
    United Statesa year ago
  • Azure

    I really enjoy this podcast and learn a lot from it. I wonder why none of data tools in Azure is never mentioned.

    Thanks

    Apple Podcasts
    4
    Fkn2013
    United States3 years ago
  • Very insightful podcast!

    When you are looking for more knowledge and clarity in the world of data engineering/management, then you have come to the right place.

    Apple Podcasts
    5
    More Than Engineering
    Philippines4 years ago
  • Interesting topics guests

    Tobias does a great job covering the future of data engineering - practical tips, the future of the industry with the founders of new tools, and no-nonsense advice on how to build data pipelines, viz, and process that will scale.

    Apple Podcasts
    5
    Googleduser
    United States4 years ago

Listeners Say

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

Listeners praise the mix of tool-focused and strategy discussions.
Tobias asks great, probing questions and draws practical takeaways.
Guests consistently bring high-level expertise with actionable insights.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#240
United States/Technology
Apple Podcasts
#136
Canada/Technology
Apple Podcasts
#184
United Kingdom/Technology
Apple Podcasts
#117
Germany/Technology
Apple Podcasts
#243
Australia/Technology
Apple Podcasts
#32
India/Technology

Talking Points

Recent interactions between the hosts and their guests.

Holding Kafka Right: Product-Friendly Streaming with TypeStream
Q: Who benefits most from TypeStream in an organization?
People already familiar with Kafka and Kafka Streams benefit most, especially enablement roles helping teams move faster, product engineers who want to avoid building many microservices, and smaller teams needing a clear on-ramp yet scalable architecture.
Holding Kafka Right: Product-Friendly Streaming with TypeStream
Q: What are the main tradeoffs when choosing Kafka-native approaches vs. alternatives like Kinesis or Pulsar?
Kafka-native approaches typically offer lowest latency and tight integration with Kafka tooling, but require more operational overhead. Alternatives like Kinesis or Pulsar can reduce ops burden and provide different guarantees, but may introduce vendor lock-in or require additional adapters. TypeStream is designed to be portable across distributions, easing swaps while preserving core capabilities.
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: What are the biggest challenges in maximizing hardware utilization for AI workloads?
Discussion of resource sharing between training and inference, multi-cloud capacity, elasticity, rack-level topology, and failure handling, with Ray as a coordinating layer across compute resources.
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: How has the Ray ecosystem evolved with Kubernetes and the broader compute stack?
The guest discusses the maturation of Kubernetes as the standard for orchestration, consolidation of the infrastructure stack, and Ray's integration with PyTorch, Kubernetes, and other tools to support diverse workloads.
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: So Robert, can you start by introducing yourself?
Robert introduces himself as a co-founder of Anyscale, explains Ray as an open-source distributed system for scaling AI workloads, and mentions the origins at Berkeley and the goal to commercialize Ray.

Audience Metrics

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Frequently Asked Questions About Data Engineering Podcast

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

A practical, practitioner-focused show examining data engineering tools, architectures, and workflows. Episodes tend to center on real-world scaling, automation, and governance challenges, with deep dives into data platforms, observability, AI-enabled data pipelines, and enterprise-grade tooling. Guests are often founders, product leads, or senior engineers from data tooling and platform companies, sharing concrete patterns, trade-offs, and lessons learned. The host steers conversations toward actionable takeaways for building reliable data systems at scale, making the show particularly valuable for data engineers, analytics engineers, and data platform leads evaluating new technologies or seeking pragmatic guidance. A notable strength is i... more

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Which podcasts are similar to Data Engineering Podcast?

These podcasts share a similar audience with Data Engineering Podcast:

1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. Practical AI
4. Talk Python To Me
5. Software Engineering Daily

How many episodes of Data Engineering Podcast are there?

Data Engineering Podcast launched 10 years ago and published 514 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 Podcast?

Recent guests on Data Engineering Podcast include:

1. Jevin Maltais
2. Shravan Gunda
3. Weimo Liu
4. Robert Nishihara
5. Gleb Mezhanskiy
6. Himant Goyal
7. Rowan Cockett
8. Raj Shukla

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