At Monobank (Universal Bank), I lead a core data platform team of 9 engineers and drive AI adoption across data engineering. I architected an AI-driven ingestion workflow that reduced pipeline development time by approximately 70%.
I'm developing AI agents for DWH capacity management, observability, and incident analysis, and contributing to an enterprise semantic and metadata platform. I also develop RAG and hybrid retrieval capabilities grounded in engineering documentation, repository code, metadata, monitoring data, and historical incidents.
At Growe, I built and led an integration platform from the ground up, growing and managing a team of 4 engineers. I designed AI agents and RAG workflows for internal teams, including a Jira agent for ticket discovery, summarization, classification, and workflow assistance.
At Alcon, I designed enterprise lakehouse architecture and data modeling standards for supply chain and marketing data products. I optimized Snowflake and ETL workflows, improving query and pipeline performance while reducing infrastructure and processing costs.
