Summary
Evgeny Ilievsky is a Cloud Data Architect with 8+ years focused on building scalable data platforms, pipelines, and ML-ready architectures across startup and enterprise environments. He combines hands‑on Python, Spark, Airflow and AWS expertise with deep SQL/NoSQL data modeling to move large, sensor-driven and product analytics datasets from ingestion to inference. As a team lead he has delivered feature stores, data governance, and MLOps capabilities while coordinating cross-functional product and algorithm teams. His background spans real-time streaming (Kafka, Kinesis, RabbitMQ), diverse storage (Snowflake, Redshift, Mongo, Postgres) and practical experience integrating complex enterprise systems. Based in Israel, Evgeny blends a systems-level view with meticulous attention to implementation details, and he brings a rare mix of early-career software engineering and long-term data architecture leadership. Outside core data work he also contributes full‑stack skills in React/TypeScript and Django/Flask, enabling end-to-end delivery.
8 years of coding experience
27 years of employment as a software developer
Practical Engineer Computer Engineering, Practical Engineer Computer Engineering at College. The National School For Practical Engineers in Technion
English, Hebrew, Russian