Kamil Szeląg is a data engineering leader with 11 years of experience building high-throughput, near-real-time analytics platforms and teams from Krakow. Currently Data Engineering Domain Manager at InPost after rapid promotion through lead and senior engineering roles, he has hands-on expertise designing ETL/aggregation pipelines, active-active Kafka architectures, and systems processing hundreds of terabytes per day. He combines a strong software engineering pedigree in Scala/Java and Akka with big data tools like Spark, Impala, Kudu and Kafka, and has led ML pipeline and data science integrations using Spark MLLib. Comfortable both managing teams and shipping low-level distributed systems, he has a PhD-track research mindset applied to production problems and a history of moving between deep technical work and cross-team delivery. Known for pragmatic architecture choices and metamodel-driven ETL design, he brings an unusually balanced mix of academic rigor and large-scale operational experience.
11 years of coding experience
12 years of employment as a software developer
Engineer's degree, IT, Engineer's degree, IT at AGH University of Krakow
Contributions:4 releases, 13 PRs, 108 pushes in 4 years 3 months
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