Episodes: 518
Frequency: Every two weeks
Rating: 4.6/5.0
Estimated listeners: 1,000 - 10,000
Gender skew: Male
Listener location: USA
Publicly listed emails
hosts@dataengineeringpodcast.com
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Tobias Macey - Host and interviewer focused on data engineering, modern data management, software infrastructure, and related developer technologies.
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.
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...
Bringing Data and AI to Life · High booking difficulty · 100 - 1,000 listeners
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.
The publicly listed email for Data Engineering Podcast: hosts@dataengineeringpodcast.com.
Podseeker estimates Data Engineering Podcast reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.
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.
Medium. Guests usually need solid credentials in the topic and an idea that fits the show.
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
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