Data Engineering Podcast

Tobias Macey•www.dataengineeringpodcast.com

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.

Last refreshed: June 8th, 2026 at 1:44 AM ⓘ

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Episodes

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 work that consumes most data teams. He explores Kaarvi’s multi-agent architecture that runs queries across seven LLMs in parallel for reliability, its synthetic data generator that mirrors source schemas for quick testing, and “Hey Kaarvi” chat for text-to-SQL, text-to-transformations, and text-to-dashboard workflows. He also digs...

Jun 08, 2026•53 min•Ep. 511

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. He explores how PuppyGraph lets you run Cypher and Gremlin traversals and graph algorithms directly on data in Iceberg, Delta, Hudi, Hive, and even MongoDB—without loading into a separate graph store. Weimo explains their edge-sharded, vectorized, MPP architecture that tackles hub nodes, multi-hop traversals, and shuffle at sc...

Jun 01, 2026•54 min•Ep. 510

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