Michal Klempa is a Lead Big Data Engineer based in Munich with 11 years of experience designing and operating large-scale streaming and batch data platforms. He combines deep hands-on skills in Kafka, Flink, Spark Structured Streaming, NiFi and schema-driven formats (Avro, Protobuf) with practical DevOps expertise across Kubernetes, Docker, Terraform and multiple cloud providers. Certified in Cloudera and Hortonworks, he has a strong Hadoop background while modernizing pipelines for real-time use cases at companies like Joyn and relayr. An active contributor to Apache NiFi, he has fixed core processors and improved bootstrap behavior, showing a propensity for improving open-source tooling that powers data flows. Early-career work on custom OS kernel programming (C and assembler for a MIPS simulator) underlines his low-level systems understanding that complements his distributed-systems focus. He consistently bridges architecture and hands-on delivery, moving projects from prototypes to production-grade, secure deployments.
11 years of coding experience
8 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Comenius University in Bratislava, Faculty of Mathematics, Physics and Informatics.
MSc, Software Systems, MSc, Software Systems at Charles University in Prague
Contributions:7 commits, 8 PRs, 13 comments in 8 months
Contributions summary:Michal contributed to the Apache NiFi project by fixing bugs and implementing features. Their work involved modifying Java code within the `nifi-standard-bundle` and `nifi-kite-bundle`, specifically focusing on the `ExecuteStreamCommand` and `InferAvroSchema` processors. The user also addressed issues related to command-line argument parsing and made updates to the NiFi bootstrap scripts for improved functionality. These contributions directly impact the functionality and usability of the NiFi data flow engine.
Contributions:57 commits, 4 PRs, 54 pushes in 1 year 7 months
nifi-registrydocker-imagenifidockerharbor
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