Yevhen Z.

Data Platform Technical Lead with 8+ years of experience designing, building, and modernizing enterprise data platforms on Azure, AWS, Snowflake, and Databricks. I help organizations transform complex data ecosystems into scalable, reliable, and cost-effective platforms that support analytics, reporting, machine learning, and business-critical operations. My background combines hands-on engineering expertise with technical leadership, allowing me to drive projects from architecture and strategy through implementation and production support. Over the last several years, I have worked extensively with healthcare data platforms serving US hospitals, leading teams responsible for large-scale data ingestion, transformation, governance, and analytics solutions. I have successfully delivered cloud migrations, platform modernization initiatives, and enterprise data warehouse projects while maintaining high standards for performance, security, and reliability. Core expertise: • Data Platform Architecture • Data Engineering • Snowflake • Databricks • Apache Spark / PySpark • SQL & Database Development • Python • Azure Data Services • AWS Data Services • ETL / ELT Development • Data Warehousing • Data Lakes & Lakehouse Architecture • Airflow • Azure Synapse Analytics • Delta Lake • Data Governance & Security • CI/CD & DevOps Automation Key accomplishments include: ✓ Leading the development of a multi-cloud healthcare data platform running on Snowflake across AWS and Azure. ✓ Managing and mentoring engineering teams, conducting technical interviews, defining coding standards, and driving engineering excellence. ✓ Successfully migrating enterprise healthcare workloads from Azure HDInsight Spark clusters to Databricks Lakehouse architecture. ✓ Designing and implementing large-scale data lake and data warehouse solutions that process and analyze millions of records efficiently. ✓ Leading migration projects from Microsoft SQL Server to Snowflake, improving scalability, maintainability, and performance. ✓ Building automated data pipelines using Spark, Python, Airflow, Azure Data Factory, Snowflake, and cloud-native services. ✓ Implementing secure data platforms with RBAC, data masking, governance controls, and enterprise security best practices. Technologies: Snowflake, Databricks, Apache Spark, PySpark, Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Cosmos DB, Azure Key Vault, AWS S3, AWS Athena, AWS DynamoDB, AWS SQS, Airflow, Jenkins, Liquibase, Hive Metastore, Unity Catalog, Delta Tables, Git, CI/CD. What clients can expect when working with me: • Clear and proactive communication • Strong ownership and accountability • Practical architecture decisions focused on business value • High-quality, maintainable solutions • On-time delivery and transparent project management • Deep expertise in modern cloud data platforms Whether you need a Snowflake expert, Databricks architect, data engineering lead, cloud migration specialist, or technical advisor for your data platform strategy, I can help deliver scalable solutions that support long-term business growth.