Vladimir Medianyi

Experienced Python Data Engineer with 6+ years of hands-on expertise in building scalable ETL pipelines, real-time streaming systems, and workflow automation. Proficient in Apache Airflow, PySpark, Kafka, and BigQuery, with strong experience in cloud-native data architectures (GCP, AWS). Focused on data quality, performance optimization, and cost-efficient delivery across large-scale environments. Adept at collaborating with cross-functional teams to translate complex business requirements into reliable, production-ready data solutions. Passionate about continuous improvement, clean design, and modern data engineering practices.