Peter Jakubčo is a Senior Data Engineer with 18 years of experience building and optimizing large-scale, cost-aware data pipelines in cloud environments. He specializes in Scala and Apache Spark, designing performant ETL systems that turn raw vendor data into customer-facing aggregates while cutting cluster costs through code and configuration optimizations. Comfortable across the stack, he architects data models, metadata/versioning conventions, and pipeline frameworks, and has hands-on experience with AWS services like EMR, S3, Athena, Redshift and MWAA. He pairs engineering rigor with pragmatic solutions, mentoring teams and improving observability and debugging workflows to speed delivery. A PhD-trained computer scientist based in Prague, he also maintains open-source projects including an IntelliJ Cucumber plugin and an emulator platform, signaling curiosity beyond core Big Data work.
18 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Technical University of Košice
Generic test suite for comfortable CPU unit testing
Contributions:2 releases, 45 commits, 18 PRs in 2 years 2 months
cputestingunitgenericcomfortable
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