Evgeny Khatko is a Principal Engineer with 14 years of experience helping organizations migrate to and operate on AWS, currently enabling observability for high-cardinality data at PayPal. He has a strong background in designing scalable distributed systems and infrastructure—at Amazon he drove a 10x scalability improvement for Amazon Photos and built data services handling tens of thousands of TPS. At PayPal he architected an extensible Argo-based workflow engine, led programs that cut raw log storage costs dramatically, and shipped reusable IaC libraries to standardize secure connectivity and observability. His PhD in Applied Mathematics informs a practical, data-driven approach to anomaly detection, load testing and per-field validation at massive scale. Evgeny blends hands-on engineering, automation, and system-level thinking to convert complex operational gaps into measurable cost and reliability wins. Based in Redmond, he’s equally comfortable authoring algorithms as he is building observability-as-code for large enterprises.
14 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
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