Summary
Oleksandr Shynkarov is a Databricks Certified Data Engineer with four years of hands-on experience designing cloud-native, cost-optimized data platforms and pipelines across Azure and AWS. He builds scalable ETL solutions using Azure Databricks, PySpark, Terraform and SQL, and has applied infrastructure-as-code and modular pipeline patterns to reduce platform costs and speed provisioning. His background spans healthcare and consumer domains, delivering explainable, business-aligned data models and production-ready integrations with Airflow, Kafka and serverless AWS services. Based in Kyiv, he pairs a strong academic foundation in applied systems analysis with a practical focus on observability and data quality, and is currently shaping the Silpo & Loko Apps data platform to drive actionable insights.
4 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at SET University
High School Diploma, Mathematics, High School Diploma, Mathematics at Mariupol City Lyceum
Igor Sikorsky Kyiv Polytechnic Institute
Українська, Англійська