Data Engineering Podcast podcast artwork
Technology

Data Engineering Podcast

by Tobias Macey
TechnologyEducation

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About the show

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.

Latest episodes

  • Reducing Data Debt with Agile Ledger Architecture

    September 24, 2026 · 50 min

    Summary In 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…

  • What Context Really Means in Data Engineering and AI

    September 15, 2026 · 53 min

    Summary In 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…

  • Specialized AI for Data Engineers: Inside Astronomer’s Otto

    August 27, 2026 · 46 min

    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…

  • Why Multi-Agent Systems Need Shared State, Graph Semantics, and Governance

    August 2, 2026 · 1 hr 2 min

    Summary  In this episode Ragnor Comerford talks about OmniGraph, a lakehouse-native graph storage layer designed around the needs of agentic systems. He explores how graphs are primarily a semantic model for representing the world, rather…

  • Building the Context Flywheel for AI Data Agents

    July 6, 2026 · 1 hr 1 min

    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…

  • Holding Kafka Right: Product-Friendly Streaming with TypeStream

    June 18, 2026 · 50 min

    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…

  • Text to Data Products: Kaarvi’s End-to-End AI for Ingestion, Quality, and Dashboards

    June 8, 2026 · 53 min

    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…

  • Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture

    June 1, 2026 · 54 min

    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…