Data as a Value Center | Podcast (Featuring Katie Bauer)

Egor Gryaznov is Co-Founder and Field CTO of Bigeye, where he works directly with enterprise leaders to design and implement data and AI governance strategies built on trust and observability.

Egor’s passion for scalable, high-quality data systems took shape at Uber, where he was a Staff Engineer and a key member of the original data warehouse team in 2014. He became known for both his technical depth and his ability to bridge the gap between business and engineering - understanding and getting requirements and making sure that solutions his teams built would meet those . 

Shortly after joining, he launched Uber’s first SQL bootcamp, helping hundreds of employees level up their data skills.One of those early attendees was Kyle Kirwan. What started as friendly skepticism turned into a fast partnership, fueled by increasingly difficult SQL challenges and a shared conviction that data infrastructure needed to evolve.

Together, they worked on the pipelines behind Uber’s in-house experimentation platform, reporting standardized metrics across thousands of experiments. As Uber’s platform expanded to support hundreds of petabytes and thousands of weekly data users, Egor saw firsthand how data quality issues could quietly undermine decision-making at scale.

They learned that monitoring couldn’t rely on manual testing alone. Automation was essential, but so was transparency and control. And analysts and engineers needed shared, scalable systems.

In 2019, Egor and Kyle founded Bigeye to bring modern observability to data. As Field CTO, Egor helps enterprises monitor, control, and govern how data, and now AI agents, access and use information, ensuring that innovation never comes at the expense of trust.