Summary
Ilia Balashov is a Senior Data Engineer with 11 years of experience designing and operating large-scale, cloud-native and on‑prem data platforms across GCP, AWS and increasingly Azure. He specializes in real‑time ingestion and observability—owning a 20 TB/day telemetry lakehouse for a TV OS and replatforming pipelines to Databricks and Flink for cost and performance gains. Experienced as an architect and team lead, he blends hands-on engineering (Spark, Kafka, ClickHouse, Iceberg, dbt) with SRE and FinOps practices to improve reliability, scalability and delivery cadence. Ilia has repeatedly delivered measurable outcomes—2–4x faster analytics, reduced incident analysis delays, and accelerated ML model delivery—while introducing data mesh, lineage and MLOps in complex organizations. He enjoys mentoring teams and translating messy ecosystems into structured, cost‑efficient data products. Based in Amsterdam, he pairs a systems‑level mindset with deep implementation experience from embedded and high‑throughput streaming systems to modern lakehouse architectures.
11 years of coding experience
15 years of employment as a software developer
Master's degree Computer and automated system software, Master's degree Computer and automated system software at Izhevsk State Technical University (ISTU)
English, Russian, Dutch