Data Quality Engineer with 2.5+ years of experience at N-iX and EPAM Systems, validating data migrations and pipelines for enterprise clients including Equifax, Kynetec and Cleverbridge. I build automated DQ frameworks with Python, PySpark and Great Expectations across AWS (Glue, Athena), GCP (BigQuery, Firestore, Cloud SQL) and Databricks, and have ensured consistency of multi-terabyte datasets. I also embed quality gates into ETL workflows so corrupt data doesn't reach downstream analytics. I apply LLM agents (Claude API, MCP) to QA work: I engineered a custom AI testing agent that saves 40+ hours of manual verification per month. Alongside my engineering role, I mentor aspiring data analysts at Mate academy, reviewing their SQL, Python and BI work and preparing them for technical interviews
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