Podcast artwork thumbnail for Data Engineering Podcast

Data Engineering Podcast

Tobias Macey

Booking Overview

This interview-led technology show focuses on data engineering, modern data management, AI agents, orchestration, streaming, and infrastructure, with recurring conversations featuring founders, CEOs, and technical leaders building data products. Credible pitches include data infrastructure executives, experienced data engineers, AI and machine-learning infrastructure specialists, and founders with practical expertise in databases, pipelines, governance, or developer tooling; booking difficulty is medium because the niche is accessible to qualified practitioners but favors people with substantial product or technical leadership experience.

Metrics

Episodes: 518

Frequency: Every two weeks

Rating: 4.6/5.0

Estimated listeners: 1,000 - 10,000

Gender skew: Male

Listener location: USA

Contact Information

Publicly listed emails

hosts@dataengineeringpodcast.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

Host

Tobias Macey - Host and interviewer focused on data engineering, modern data management, software infrastructure, and related developer technologies.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Founders, CEOs, product leaders, and senior practitioners with hands-on experience in data engineering, data infrastructure, AI systems, databases, streaming, orchestration, or developer tooling.
Required Achievements:  
Founded or led a data infrastructure or AI company, Built and launched developer or data engineering products, Held senior technical roles at established technology companies, Developed practical systems for data pipelines, streaming, orchestration, or governance

Recent Guest Discussions

Soham Azumdar - Context Engineering, Semantic Layers, Data Catalogs, Agent Memory, Data Modeling, And Trustworthy AI Systems.

Yetunde Dada - Specialized AI Agents For Data Engineers, Airflow Automation, DAG Authoring, Pipeline Troubleshooting, Code Review, Security, And Agent Validation.

Ragnor Comerford - Graph Semantics, Shared State For Multi-agent Systems, Governance, Lakehouse Infrastructure, Git-style Branching, And Agent Orchestration.

Prukalpa Sankar - Context Layers For AI Data Agents, Metadata Catalogs, Governance, Semantic Meaning, Institutional Knowledge, And Trustworthy Agent-generated Context.

Jevin Maltais - Kafka, Event-driven Systems, Streaming Architecture, Schema Registries, Change Data Capture, Materialized Views, And Product-focused Data Infrastructure.

Recent Topics

Technology, Data Engineering, Data Pipelines, Databases, Workflow Automation

Episodes

Here's the recent few episodes on
Data Engineering Podcast
:

Reducing Data Debt with Agile Ledger Architecture

September 24, 2026

SummaryIn this episode Christopher Doidge talks about his Agile Ledger Architecture (ALA) approach to data warehousing and how it aims to reduce data debt while shortening the path from raw data to trustworthy business insight. Christopher explained that ALA is not a replacement for existing warehouse patterns like medallion architecture, star schemas, or other modeling approaches, but a complementary discipline focused on pushing business definitions upstream, enforcing cleaner ledger-style ...

What Context Really Means in Data Engineering and AI

September 15, 2026

SummaryIn this episode Soham Mazumdar, co-founder and CEO of Wisdom.ai, talks about what “context” really means in data engineering and AI systems. He explores why context has become such an overloaded term, spanning everything from semantic layers and data catalogs to tribal knowledge, query logs, dashboards, and even agent memory. Soham explained that the big shift is that context is no longer being prepared primarily for human analysts, but for LLMs and agents that can’t reliably fill in m...

Specialized AI for Data Engineers: Inside Astronomer’s Otto

August 27, 2026

Summary In this episode Yetunde Dada discusses Otto, Astronomer’s AI agent for Airflow, and the broader challenge of making agentic tooling actually useful for data engineers. She explored why generic coding assistants often fall short in data workflows, how Otto adds the missing context around Airflow, Astro, upgrades, and troubleshooting, and why Astronomer focused first on high-leverage use cases such as DAG authoring, investigation of pipeline failures, version migrations, and legacy...

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Data Engineering Podcast
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Bringing Data and AI to Life · High booking difficulty · 100 - 1,000 listeners

Frequently asked questions

Here's some frequently asked questions for
Data Engineering Podcast
:

How do I get in touch with Data Engineering Podcast?

Data Engineering Podcast is hosted by Tobias Macey. Its publicly listed email is hosts@dataengineeringpodcast.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Data Engineering Podcast?

The publicly listed email for Data Engineering Podcast: hosts@dataengineeringpodcast.com.

How many listeners does Data Engineering Podcast have?

Podseeker estimates Data Engineering Podcast reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Data Engineering Podcast?

Data Engineering Podcast typically books industry leaders. Typical guest background: Founders, CEOs, product leaders, and senior practitioners with hands-on experience in data engineering, data infrastructure, AI systems, databases, streaming, orchestration, or developer tooling. Common among recent guests: Founded or led a data infrastructure or AI company; Built and launched developer or data engineering products; Held senior technical roles at established technology companies. Recent guests include Soham Azumdar, Yetunde Dada, and Ragnor Comerford.

How hard is it to get booked on Data Engineering Podcast?

Medium. Guests usually need solid credentials in the topic and an idea that fits the show.

What topics does Data Engineering Podcast cover?

Recent episodes cover Technology, Data Engineering, Data Pipelines, Databases, and Workflow Automation. Pitch an idea tied to one of these topics and mention a recent episode.

Publicly listed emails

hosts@dataengineeringpodcast.com

Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.

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