Mark Kovalev is a data engineer with a decade of experience delivering data-intensive systems for clients including Deutsche Bank, UBS, LSEG and Bridgewater. Based in Kyiv, he blends functional-programming sensibilities with practical Big Data engineering, regularly using Scala, Spark/Databricks, Apache Flink and Azure data services to build ETL and streaming pipelines. His career spans low-level database and DBA work to cloud-native architectures—giving him a rare end-to-end view from Oracle and Postgres to CosmosDB, S3/Blob storage and EventHub. At EPAM he has driven production data platforms that emphasize reliability, business metadata and semantic richness for risk and wealth-management domains. He seeks opportunities to apply new paradigms and languages in real projects, favoring functional approaches and observable, testable pipelines. Pragmatic and curious, he often pairs systems thinking with careful performance and migration experience accumulated across large financial engagements.
Contributions:4 PRs, 53 pushes, 4 branches in 3 years 2 months
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