The Analytics Engineering Podcast – Details, episodes & analysis

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The Analytics Engineering Podcast

dbt Labs, Inc.

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Technology

Frequency: 1 episode/20d. Total Eps: 93

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 work with data at scale. For full show notes and transcript, head to roundup.getdbt.com. To reach our team, drop a note to podcast@dbtlabs.com.

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https://roundup.getdbt.com
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https://roundup.getdbt.com.
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https://coalesce.getdbt.com.
7 shares

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Score global : 27%

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Building a multimodal lakehouse for AI (w/ Chang She)

Sunday, November 23, 2025 • Duration 56:58

In this episode, Tristan Handy sits down with Chang She — a co-creator of Pandas and now CEO of LanceDB — to explore the convergence of analytics and AI engineering.

The team at LanceDB is rebuilding the data lake from the ground up with AI as a first principle, starting with a new AI-native file format called Lance. Tristan traces Chang's journey as one of the original contributors to the pandas library to building a new infrastructure layer for AI-native data. Learn why vector databases alone aren't enough, why agents require new architecture, and how LanceDB is building a AI lakehouse for the future.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Agentic coding in analytics engineering (w/ Mikkel Dengsøe)

Sunday, September 7, 2025 • Duration 44:20

Tristan talks with Mikkel Dengsøe, co-founder at SYNQ, to break down what agentic coding looks like in analytics engineering. Mikkel walks through a hands-on project using Cursor, the dbt MCP server, Omni's AI assistant, and Snowflake. They cover where agents shine (staging, unit tests, lineage-aware checks), where they're risky (BI chat for non-experts), and how observability is shifting from dashboards to root-cause explanations.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Building a data team from the beginning (w/ Daniel Avancini)

Season 1 · Episode 75

Sunday, January 26, 2025 • Duration 50:12

Daniel Avancini is the chief data officer and co-founder of Indicium—a fast-growing data consultancy started in Brazil.

There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium's journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months.

The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals.

Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Data engineering at Snowflake (w/ Rahul Jain)

Season 1 · Episode 74

Sunday, January 12, 2025 • Duration 44:04

A look inside at the data work happening at a company making some of the most advanced technologies in the industry. Rahul Jain, data engineering manager at Snowflake, joins Tristan to discuss Iceberg, streaming, and all things Snowflake.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer)

Sunday, December 22, 2024 • Duration 50:37

Hamilton Ulmer is working at the intersection of UI, Exploratory Data Analysis, and SQL at MotherDuck, and he's built a long career in EDA. Hamilton and Tristan dive deep into the history of exploratory data analysis. Even if you spend most of your time below the frontend layer of the stack, it is important to understand the trends in both the practice of data visualization and the technologies that underlie that practice.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Making data movement as reliable as electricity (w/ Taylor Brown)

Season 1 · Episode 72

Sunday, December 8, 2024 • Duration 46:40

Fivetran recently passed $300 million ARR and has over 7,000 customers globally. Taylor Brown, the cofounder and COO of Fivetran, joins the show to talk about Fivetran's moat, the impact of AI on the data ingestion space, and open table formats and catalogs.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Data as an assembly line (w/ Cedric Chin)

Sunday, November 17, 2024 • Duration 51:11

Cedric Chin runs Commoncog—a publication about accelerating business expertise. He joins Tristan to talk about the analytics development lifecycle, how organizations value (or misvalue) data, and why "data teams are not some IT helpdesk to be ignored."

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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The data jobs to be done (w/ Erik Bernhardsson)

Season 1 · Episode 70

Sunday, November 3, 2024 • Duration 42:55

Erik Bernhardsson, the CEO and co-founder of Modal Labs, joins Tristan to talk about Gen AI, the lack of GPUs, the future of cloud computing, and egress fees. They also discuss whether the job title of data engineer is something we should want more or less of in the future. Erik's not afraid of a spicy take, so this is a fun one.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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Coalesce 2024 edition: What's next for data teams? (w/ Scott Breitenother)

Sunday, October 20, 2024 • Duration 44:23

Show description: Scott Breitenother, founder of data consultancy Brooklyn Data Co., joins Tristan at Coalesce 2024 in Las Vegas to discuss the early days of dbt, the evolution of data teams, and what's next for the dbt community.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.

The Analytics Engineering Podcast is sponsored by dbt Labs.

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The current state of the AI ecosystem (w/ Julia Schottenstein)

Sunday, October 6, 2024 • Duration 45:44

Former co-host Julia Schottenstein returns to the show to go deep into the world of LLMs. Julia joined LangChain as an early employee, in Tristan's words, to "Basically solve all of the problems that aren't specifically in product and engineering." LangChain has become one of, if not the primary frameworks for developing applications using large language models. There are over a million developers using LangChain today, building everything from prototypes to production AI applications.

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The Analytics Engineering Podcast – Details, episodes & analysis

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The Analytics Engineering Podcast – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

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Other30

RSS feed quality and score

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Latest published episodes

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Spotify

Other30

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