Egor Gryaznov is the cofounder and CTO of Bigeye. It's a data observability platform that helps teams measure and improve data quality. Before that, he was at Uber where he scaled the company's first data warehouse, supporting thousands of internal users and mission-critical workloads.

In this episode, we cover a range of topics including:
- Key takeaways on being a founder
- What he's building now at Bigeye
- How to do customer discovery
- Why do we need data observability
- How to measure data quality
- What is data reliability
- What should early stage ML practitioners spend their time on

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