At Salmon Group Ltd., I designed and maintained streaming and batch landing pipelines across five source systems. I optimized PySpark and SQL workloads, cutting key pipeline runtimes by 15–20x and reducing overall Databricks compute spend by 10%.
At ScienceSoft, I developed data processing pipelines integrating Azure and on-premise solutions. I implemented real-time reporting with Azure Data Factory and SQL Server, reducing issues by 40% and saving up to $200K annually in maintenance expenses.
At EPAM Systems, I managed data lake architecture and security using Hadoop, Sqoop, Knox, and Ranger, and implemented ETL workflows that reduced processing costs by $400K annually. Earlier, I built database and ETL solutions with DB2 and Informix at Bimash LLP.

