Johannes Peter
Principal Engineer Cloud Data Search
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolJohannes Peter is a Principal Engineer specializing in cloud-native data search and transformation with eight years of hands-on experience building scalable data platforms, primarily on GCP. He leads technical strategy and delivery as a freelancer after heading Data Engineering & Data Science competence at MediaMarktSaturn, bringing both leadership and deep implementation experience. Johannes combines a background in psychology and computer science (Dr. rer. nat. in Psychologie/Informatik) with practical software engineering credentials, enabling him to design data solutions that account for human-centered requirements and rigorous systems thinking. He contributes to notable open-source work on Apache NiFi—improving Solr processors and XML record handling—highlighting his expertise at the intersection of search, ETL, and provenance. Comfortable in consultancy and product modes, he thrives on turning messy, text-heavy data into reliable, searchable assets for enterprise use. Based in Munich, he pairs academic rigor with pragmatic cloud engineering to solve complex data discovery challenges.
8 years of coding experience
4 years of employment as a software developer
Diplom Psychologie, Diplom Psychologie at Universität TrierDr. rer. nat. Psychologie / Informatik, Dr. rer. nat. Psychologie / Informatik at Leibniz-Zentrum für Psychologische Information und DokumentationBachelor of Science - BS Informatik, Bachelor of Science - BS Informatik at Wilhelm Büchner Hochschule
Stackoverflow
56reputation
4kreached
2answers
0questions
Github Skills (10)
javas10
apache-nifi10
solr10
back-end-development10
java10
xml9
monitoring6
linux6
cluster-computing6
hadoop6
Programming languages (6)
Github contributions (5)
apache/nifi
Oct 2017 - May 2018
Apache NiFi
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 11 PRs, 90 comments in 7 months
Contributions summary:Johannes contributed to the Apache NiFi project by improving the `GetSolr` and `QuerySolr` processors, which interact with Solr. Their work involved modifying Java code to enhance functionality, add features, and address issues. The changes included implementing features for XML Record readers and writers, as well as improving provenance reporting within the processors.
javanifiapacheapache-nifi
querqy/querqy-opensearch
Aug 2021 - Sep 2022
Contributions:5 reviews, 27 commits, 7 PRs in 1 year 1 month
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