dataops
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Nicolai Baldin
Nicolai Baldin is the co-founder and CEO of Synthesized, a London and New York-based DataOps and AI-powered test data automation platform he launched after a PhD in machine learning and statistics at the University of Cambridge. Synthesized generates synthetic, compliant, production-like data that enterprises use to test software, train models, and share information across regulatory boundaries. In September 2025 the company raised a $20M Series A led by Redalpine to expand into automated software testing for the age of 'vibe coding.'
Pete DeJoy
Pete DeJoy is the co-founder and interim CEO of Astronomer, the New York-based data orchestration company built on Apache Airflow. A Bowdoin-trained chemist who spent eight years scaling Astronomer's product from an early commercial offering to a platform trusted by enterprises, he stepped into the CEO seat in July 2025 after a viral concert-video scandal took out his predecessor.
Varun Banka
Varun Banka is the Co-Founder and Co-CEO of Atlan, the active metadata platform and data governance control plane trusted by 200+ enterprise customers across 50+ countries. Originally from Ranchi, India, Varun co-founded SocialCops with Prukalpa Sankar while studying at Nanyang Technological University - a data-for-social-good company that powered India's national data platform used by PM Modi and impacted over a billion lives. When their internal data tooling made their own team 6x more agile, they realized the world's data teams needed the same. Atlan was born, raised $105M Series C in May 2024 at a $750M valuation, and is now building what it calls the 'context layer for the AI-native enterprise.'
Sean Knapp
Sean Knapp is the founder and CEO of Ascend.io, an AI-native data engineering platform that unifies ingestion, transformation, orchestration, and observability into a single product. A Stanford-trained computer scientist, he previously built iGoogle at Google and co-founded Ooyala — a video platform that raised $120M and sold for $400M+. At Ascend, he is building what he calls 'Agentic Data Engineering,' where AI agents handle the operational burden that buries data teams, freeing engineers for strategic work.