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Data Engineering Podcast
by Tobias Macey
Today: #115 in Technology, Brazil on our combined chart.
Today: #99 in Technology, New Zealand on our combined chart.
Today: #62 in Technology, India on our combined chart.
Chart positions today · United States
Not on the United States charts we track today.
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Not on the Canada charts we track today.
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Ranking history · United States
Latest daily rankings: Oct 27. New rankings will appear after the next update.
Recent history only — this show has no current ranking on the Technology chart. These are recorded positions from the last 14 days, not current rankings.
Position on the Technology combined chart over the last 14 days. Toggle platforms to compare their positions. Lower rank numbers are better.
Episode releases
View as table
| Date | Combined Rank | Apple Podcasts |
|---|---|---|
| Oct 27 | — | — |
| Oct 23 | #188 | #185 |
| Oct 16 | #178 | #175 |
| Oct 15 | #179 | #176 |
Latest episodes
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How Amazon Uses Telemetry and AI to Automate Physical Logistics
October 20, 2026 · 50 minSummary In this episode, I spoke with Keerti Kulkarni about the data and AI systems behind physical logistics automation at Amazon. She explained how her team supports dock-door operations across more than 100 North American facilities by…
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Why Metadata Still Matters: From Data Catalogs to AI-Ready Semantic Hubs
October 7, 2026 · 1 hr 25 minSummary In this episode, I spoke with Christian Bremeau and Simon Dynin about their decades-long work in metadata management and how that experience shaped the evolution of Meta Integration Technology and its direct-to-customer MetaKarta…
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Reducing Data Debt with Agile Ledger Architecture
September 24, 2026 · 50 minSummary 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…
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What Context Really Means in Data Engineering and AI
September 15, 2026 · 53 minSummary 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…
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Specialized AI for Data Engineers: Inside Astronomer’s Otto
August 27, 2026 · 46 minSummary 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…
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Why Multi-Agent Systems Need Shared State, Graph Semantics, and Governance
August 2, 2026 · 1 hr 2 minSummary 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…
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Building the Context Flywheel for AI Data Agents
July 6, 2026 · 1 hr 1 minSummary 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…
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Holding Kafka Right: Product-Friendly Streaming with TypeStream
June 18, 2026 · 50 minSummary 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…
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Text to Data Products: Kaarvi’s End-to-End AI for Ingestion, Quality, and Dashboards
June 8, 2026 · 53 minSummary 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…
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Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture
June 1, 2026 · 54 minSummary 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…
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Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
May 6, 2026 · 59 minSummary 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. He explores Ray’s evolution alongside Kubernetes and PyTorch, and why…
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The AI-First Data Engineer: 10–50x Productivity and What Changes Next
April 7, 2026 · 59 minSummary 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 from chat-assisted coding to truly agentic workflows where AI not only…
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.