Summary
Andrey Kabanov is a Senior Data Engineer and technical lead with 11 years of experience building and scaling cloud-native data platforms, currently leading data ingestion at DataOps.live after driving high-throughput systems at The New York Times. He specializes in Go, Java, Python, Apache Beam/Dataflow and modern data stacks (Snowflake, BigQuery, Redshift, dbt) and has repeatedly delivered measurable impact—architecting systems that handle 100K+ requests per second and driving $1.25M in cloud storage cost savings. Comfortable across AWS and GCP, he balances hands-on engineering with mentoring and team development, modernizing legacy systems while maintaining business continuity. His background spans product-stage startups to enterprise newsrooms, and he brings a pragmatic focus on data governance, ownership, and operational efficiency that often uncovers cost and performance wins others miss.
11 years of coding experience
9 years of employment as a software developer
Nanodegree Data Analyst, Nanodegree Data Analyst at Udacity
Computer Science, Computer Science at State College of Florida-Manatee-Sarasota
English, Russian