All Episodes

Episode 234

March 26, 2025

with Matt Kelliher-Gibson

āŸā€“ The Cynical Data Guy

This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group discusses the transformative impact of artificial intelligence (AI) on data work. They dig into AI-driven transcription services, code generation, and the evolving landscape of AI tools. The conversation also highlights the potential failures of companies relying on outdated models, the importance of maintaining a deep understanding of data systems, balancing AI efficiency with foundational knowledge in data engineering, and so much more.

Episode 233

March 19, 2025

with Solomon Kahn

āŸā€“ Founder & CEO, Delivery Layer | Founder & Chief Data Officer, Top Data People

This week on The Data Stack Show, Eric and John welcome Solomon Kahn, Founder & CEO of Delivery Layer and Founder & Chief Data Officer at Top Data People. Solomon discusses his career journey from startups to large corporations, emphasizing the importance of being a “triple threat” in data—proficient in statistics, programming, and business. He shares insights from his work at Nielsen, particularly in sports sponsorship analytics. The conversation covers client-facing reporting, customer analytics, and professional development. Solomon highlights the necessity of mastering foundational skills, building executive relationships, actively pursuing business improvements through data, what it takes to become a LinkedIn influencer, and more.Ā 

Episode 232

March 12, 2025

with Michael Drogalis

āŸā€“ Founder, ShadowTraffic.io

This week on The Data Stack Show, Eric and John welcome Michael Drogalis, Founder of shadwotraffic.io. Michael shares his journey in data, focusing on distributed systems and streaming data. He discusses his background as a software engineer, his work with open-source projects, and founding Distributed Masonry, which was acquired by Confluent. At Confluent, Michael contributed to stream processing technologies like Kafka Streams and KSQL. The conversation covers solopreneurship, synthetic data challenges, and the evolution of streaming technologies, offering valuable insights into innovation and entrepreneurship in the tech industry. Don’t miss it!