Bartek Kalinka is a Backend Big Data Engineer with 11 years of experience building scalable data pipelines and backend systems, currently working on AI-powered AML transaction monitoring at ThetaRay. He transitioned from Oracle/PLSQL enterprise applications into the Scala ecosystem and has since delivered production systems using Spark, Kafka, Hive/Deltalake, Kubernetes and cloud platforms. Bartek has significant cross-industry experience—from telecom and public sector billing to ad tech and healthcare analytics—bringing a pragmatic focus on performance, observability and reliable ETL. He contributes to open-source (notably enhancements to the tapir API examples) and favors self-documenting, well-tested APIs that ease integration. Comfortable in both Python and Scala stacks, he often bridges data science workflows (Jupyter) with large-scale engineering to turn models into production features.
11 years of coding experience
18 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Warsaw
Contributions:8 commits, 3 PRs, 1 comment in 5 days
Contributions summary:Bartek contributed to the `tapir` project, focused on building self-documenting APIs. Their commits primarily involved modifying and expanding the `BooksExample` API, including adding features related to schema generation with nested objects and OpenAPI documentation. They removed and re-added examples and println statements. These changes align with the project's goal of rapid API development and documentation.
Contributions:21 commits, 7 pushes, 1 comment in 7 months
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