Data Engineering Podcast

What Context Really Means in Data Engineering and AI

Summary In this episode Soham Azumdar, co-founder and CEO of Wisdom.ai, talks about what “context” really means in data engineering and AI systems. He explores why contex

Specialized AI for Data Engineers: Inside Astronomer’s Otto

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 engi

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

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 grap

Building the Context Flywheel for AI Data Agents

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

Holding Kafka Right: Product-Friendly Streaming with TypeStream

Summary  In this episode Jevin Maltais talks about the practical realities of building reliable, product-focused streaming systems with Kafka. Jevin shares lessons from r

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

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 w

Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture

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

Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes

Summary In this episode Robert Nishihara, co-founder of Anyscale and co-creator of Ray, talks about maximizing hardware utilization for AI and data-intensive workloads. H

The AI-First Data Engineer: 10–50x Productivity and What Changes Next

Summary  In this episode, I sit down with Gleb Mezhanskiy, CEO and co-founder of Datafold, to explore how agentic AI is reshaping data engineering. We unpack the leap fro

Treat Metering Like Finance: Building Data Platforms for Consumption Economics

Summary  In this episode Himant Goyal, Senior Product Manager at Salesforce, talks about how data platform investments enable reliable, accurate metering for consumption-

Beyond the PDF: Rowan Cockett on Reproducible, Composable Science

Summary  In this episode Rowan Cockett, co-founder and CEO of CurveNote and co-founder of the Continuous Science Foundation, talks about building data systems that make s

Beyond Prompts: Practical Paths to Self‑Improving AI

Summary  In this episode Raj Shukla, CTO of SymphonyAI, explores what it really takes to build self‑improving AI systems that work in production. Raj unpacks how agentic

Orion at Gravity: Trustworthy AI Analysts for the Enterprise

Summary  In this episode of the Data Engineering Podcast, Lucas Thelosen and Drew Gilson, co-founders of Gravity, discuss their vision for agentic analytics in the enterp

From Models to Momentum: Uniting Architects and Engineers with ER/Studio

Summary  In this episode of the Data Engineering Podcast, Jamie Knowles (Product Director) and Ryan Hirsch (Product Marketing Manager) discuss the importance of enterpris

From Data Models to Mind Models: Designing AI Memory at Scale

Summary  In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of artificial i

Prompt Management, Tracing, and Evals: The New Table Stakes for GenAI Ops

Summary  In this episode of the Data Engineering Podcast, Aman Agarwal, creator of OpenLit, discusses the operational groundwork required to run LLM-powered applications

From Legacy to AI-Ready: How MongoDB AMP Accelerates Modernization

Summary In this episode, Shilpa Kolhar, SVP of Product and Engineering at MongoDB, discusses using MongoDB as a unified foundation for AI-driven and agentic applications.

Branches, Diffs, and SQL: How Dolt Powers Agentic Workflows

Summary  In this episode Tim Sehn, founder and CEO of DoltHub, talks about Dolt - the world’s first version‑controlled SQL database - and why Git‑style semantics belong a

Logical First, Physical Second: A Pragmatic Path to Trusted Data

Summary  In this episode of the Data Engineering Podcast Jamie Knowles, Product Director for ER/Studio, talks about data architecture and its importance in driving busine

Your Data, Your Lake: How Observe Uses Iceberg and Streaming ETL for Observability

Summary  In this episode Jacob Leverich, cofounder and CTO of Observe, talks about applying lakehouse architectures to observability workloads. Jacob discusses Observe’s