Lukas Mikelionis is a pragmatic data engineer with nine years of experience building high-throughput batch and real-time pipelines across adtech, privacy-focused services, and consumer e-commerce. He combines strong systems skills in Scala, Java, Rust and Go with cloud-native tooling (Dataflow, Flink, Kafka, BigQuery, ClickHouse) to deliver ETL, reverse-ETL and product-focused data integrations that enable BI, ML and operational use cases. Lukas has a track record of improving platform reliability and developer productivity through infrastructure-as-code, CI/CD automation, and bespoke tooling—from stateful stream processing to generative-AI–assisted product enrichment. He has contributed to both in-house and open-source–style solutions at scale (including custom Kafka integrations and exact-once ingestion) and brings academic rigour from an MSc in Computer Science to practical performance tuning and profiling work. Based in Copenhagen, he enjoys turning complex data problems into maintainable, high-performance software that directly impacts product teams and business outcomes.
9 years of coding experience
8 years of employment as a software developer
High School, High School at Druskininkų Ryto gimnazija
MSc, Computer Science, MSc, Computer Science at Københavns Universitet - University of Copenhagen
BSc, Software Engineering, Cum Laude, BSc, Software Engineering, Cum Laude at Vilniaus universitetas / Vilnius University
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