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Artwork for The Analytics Engineering Podcast

The Analytics Engineering Podcast

dbt Labs, Inc.
Analytics Engineering
Data Ecosystem
Data Analytics
Generative AI
DBT
Artificial Intelligence
Data Engineering
Modern Data Stack
Analytics
Snowflake
Iceberg
Machine Learning
Data Management
Databases
AI Agents
Venture Capital
AI In Business Intelligence
ETL
Amazon S3
DBT Labs

The Analytics Engineering Podcast goes deep with the practitioners and builders leading the shift in how data work gets done. Hosted by Tristan Handy, founder and CEO of dbt Labs, each episode is a conversation with the data engineers, analytics engineers, and technical leaders building in the agentic era. Topics include data transformation, AI in analytics, data architecture, and what it means to... more

PublishesWeeklyEpisodes97Founded5 years ago
Number of ListenersCategories
Tech NewsNewsTechnology

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Artwork for The Analytics Engineering Podcast

Latest Episodes

Emilie Schario is co-founder and head of product and engineering at Kilo Code, the open-source, model-agnostic coding agent platform Anaconda acquired in July 2026. She joins Tristan Handy to talk why nobody on her 20-person engineering team is reall... more

YouTube

Four stories: The political fight over data centers, claims about a physical AI model, Ian Macomber on the shape of the post-AI data stack, and an update on the Hugging Face story and what it means for how data teams think about evals. The Analytics ... more

YouTube

Guy Podjarny has built developer tools three times over: Blaze (acquired by Akamai), Snyk, and now Tessl. He joins Tristan Handy to argue that skills need the same lifecycle as code or teams end up scaling nothing but vibes, and to make the case that... more

YouTube

Tristan Handy and Jason Ganz are back for Roundup. This time: Stripe's $7 billion acquisition of OpenRouter, two new benchmarks showing data engineering agents are reliably good now, Exponential View's latest "are we in a bubble" gauges (verdict: no,... more

YouTube

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Recent Guests

Guy Podjarny
Multi-time founder, including Tessl, building tools for agentic development
Tessl
Episode: You can't scale vibes (Guy Podjarny)
Britton Stamper
In-house data practitioner and contributor linked to dbtlabs/5stran
dbt Labs
Episode: Roundup: Why your sales team shouldn't query Gong directly
Jeremiah Lowin
CEO of Prefect
Prefect
Episode: Don't hand a bazooka to an agent making a sandwich (Jeremiah Lowin)
Shri Iyer
Senior Tech Lead Director for AI and the data stack at Meta (as of recording; on career break)
Meta
Episode: Data lessons from inside Meta (Shridhar Iyer)
Ian Macomber
Lead of Ramp's data team
Ramp
Episode: The scarce resource is consensus (Ian Macomber)
Claire Gouze
Co-founder and CEO of Now Labs
Now Labs
Episode: The context engineering playbook (Claire Gouze)
Jordan Tigani
CEO and co-founder of MotherDuck
MotherDuck
Episode: DuckDB's agent moment (Jordan Tigani)
Anders Swanson
Developer Experience Advocate at DBT Labs
DBT Labs
Episode: The Iceberg ecosystem today (w/ Anders Swanson)
Russell Spitzer
Long time open source maintainer and PMC with Apache Iceberg and Apache Polaris, working as a full time employee at Snowflake
Snowflake
Episode: Apache Iceberg and the catalog layer (w/ Russell Spitzer)

Host

Tristan Handy
Host of Analytics Engineering Podcast, focused on data engineering, analytics, and agentic development.

Reviews

4.9 out of 5 stars from 115 ratings
  • Amazing!

    It’s obvious Tristan and Julia put extraordinary effort in covering salient topics and finding guests that are authentic and truly care about being a positive force in this world - the insights they bring to bear are still mind-blowing every. single. time.

    Apple Podcasts
    5
    Dan1777999877
    United States3 years ago
  • Quality analytics discussion

    I’ve been looking for a great podcast around analytics and data engineering for a while now. This first episode was awesome and I’m excited for the next one!

    Apple Podcasts
    5
    Nerdenberger
    United States5 years ago

Listeners Say

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

Listeners highlight the hosts' thorough topic coverage and authentic guest selections.
Guests and topics are considered high-signal and practically applicable for data teams.
Listeners praise the podcast for being a strong resource in analytics and data engineering.

Chart Rankings

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

Apple Podcasts
#43
United States/News/Tech News
Apple Podcasts
#59
United Kingdom/News/Tech News
Apple Podcasts
#120
Canada/News/Tech News
Apple Podcasts
#70
Australia/News/Tech News
Apple Podcasts
#222
France/News/Tech News
Apple Podcasts
#238
Germany/News/Tech News

Talking Points

Recent interactions between the hosts and their guests.

Data lessons from inside Meta (Shridhar Iyer)
Q: What do you think, whether it's Meta or outside of Meta, what do you think the data team's role should be in helping a company become AI native?
The data team should focus first on AI readiness—ensuring workflows have the right context, guardrails, and primitives to enable cost-effective, reliable automation—before scaling with multi-agent orchestration. Additionally, define archetypes: builders, forward deployment engineers, and domain specialists to structure AI-enabled work across the organization.
The scarce resource is consensus (Ian Macomber)
Q: How does Ramp handle ensuring accuracy and consensus when agents increasingly query data?
They use evals and telemetry to measure model and agent performance, compare models against the same context, and identify where extra verification is needed. They aim to predefine the North Star dashboards and provide explicit provenance so agents can point users to the right verified data and context.
The context engineering playbook (Claire Gouze)
Q: What signals did you get internally that said maybe you want to do something different?
The signal was that data teams want to empower business users with analytics while being valued for delivering solutions, rather than acting only as a support function, which nudged towards building a shared, scalable context engineering approach.
The context engineering playbook (Claire Gouze)
Q: Okay, so you folks wrote a playbook around context engineering. Can you share at a high level what the playbook involves?
The playbook focuses on the method to build the right context rather than prescribing exact content. It advocates starting with a small, defined set of use cases, iterating to test reliability, and using evaluation and governance to manage context quality and agent performance.
The context engineering playbook (Claire Gouze)
Q: First, where are you on the journey? How many people, how many GitHub stars, whatever traction do you want to share?
Now Labs has gained traction with around 700-800 GitHub stars and about 80 production customers, indicating solid early adoption and interest from data teams in adopting an open-source analytics agent framework.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
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Frequently Asked Questions About The Analytics Engineering Podcast

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Which podcasts are similar to The Analytics Engineering Podcast?

These podcasts share a similar audience with The Analytics Engineering Podcast:

1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
4. The a16z Show
5. No Priors: Artificial Intelligence | Technology | Startups

How many episodes of The Analytics Engineering Podcast are there?

The Analytics Engineering Podcast launched 5 years ago and published 97 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 The Analytics Engineering Podcast?

Recent guests on The Analytics Engineering Podcast include:

1. Guy Podjarny
2. Britton Stamper
3. Jeremiah Lowin
4. Shri Iyer
5. Ian Macomber
6. Claire Gouze
7. Jordan Tigani
8. Anders Swanson

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