Vadym U. Email & Phone Number

Kyiv, Ua

Ukraine

Responsibilities:Managed and optimized Snowflake data warehousing, orchestrated data workflows into Amazon S3 using Data Build Tool. Developed data pipelines on Google Cloud and Azure, ensuring seamless data ingestion and transformation. Engineered solutions for data streaming from Kafka to Spark, processed and stored the data in Delta tables, registered these tables in Trino for efficient querying, and integrated with Apache Superset for BI analytics and… Show more Responsibilities:Managed and optimized Snowflake data warehousing, orchestrated data workflows into Amazon S3 using Data Build Tool. Developed data pipelines on Google Cloud and Azure, ensuring seamless data ingestion and transformation. Engineered solutions for data streaming from Kafka to Spark, processed and stored the data in Delta tables, registered these tables in Trino for efficient querying, and integrated with Apache Superset for BI analytics and visualization.Achievements:Improved data processing efficiency through optimizing Spark jobs and Snowflake configurations. Automated manual data orchestration tasks using Data Build Tool, reducing operational overhead. Successfully migrated key data pipelines to cloud platforms, reducing operational costs. Show less

Germany

Managed and optimized MS SQL Server databases, including modifying stored procedures and scheduled jobs.Supported data analytics by providing custom queries and comprehensive datasets for business insights in a retailproject. Developed ETL processes to integrate data from multiple sources, ensuring accuracy and consistency.Conducted performance tuning and query optimization for improved database performance. Automated routinetasks with SQL scripts, reducing manual effort and… Show more Managed and optimized MS SQL Server databases, including modifying stored procedures and scheduled jobs.Supported data analytics by providing custom queries and comprehensive datasets for business insights in a retailproject. Developed ETL processes to integrate data from multiple sources, ensuring accuracy and consistency.Conducted performance tuning and query optimization for improved database performance. Automated routinetasks with SQL scripts, reducing manual effort and errors. Implemented data validation checks to maintain high dataquality and integrity. Show less