At EPAM, I architect data solutions that process billions of records, serving Fortune 500 clients across industries. My focus is on building resilient, scalable systems that turn data chaos into business clarity.
Python • Scala • SQL • Spark • Kafka • AWS • Azure
Real-time Analytics • MLOps • Data Architecture
Data engineering solutions that have transformed how enterprises understand and leverage their data.
Architected a streaming data platform processing 10M+ events daily, reducing query response time from minutes to milliseconds for real-time business intelligence.
End-to-end MLOps pipeline reducing deployment time by 80%
Petabyte-scale data lake serving 500+ analysts
Real-time fraud detection with 99.5% accuracy
Unified view across 15+ data sources
Capturing the journey of innovation and collaboration