Hanno Schlichting is a seasoned software architect and open-source veteran with 21 years of experience building and maintaining backend systems, clinical information platforms, and large-scale data pipelines. Based in Hamburg, he has led release and architecture work at projects like Plone, Zope and Mozilla’s Location Service, and contributed substantial backend and documentation improvements to widely used Python libraries such as PyMySQL, Kazoo, and pycassa. His strengths span internationalization, geolocation, DevOps and clinical IT, with a track record of making complex systems more maintainable and performant while preserving privacy in high-volume data contexts. Hanno prefers mission-driven, not-for-profit work and hybrid/remote roles tied to the Hamburg area, and brings rare cross-domain experience combining hospital IT modernization with global open-source collaboration. A pragmatic problem solver and communicator, he often pairs code changes with documentation and tests, improving usability for both developers and operators.
Contributions:2817 commits, 43 PRs, 800 pushes in 4 years 4 months
Contributions summary:Hanno focused on optimizing and maintaining the Mozilla Ichnaea project. Their work included parallelizing datamap upload logic and implementing more efficient file scanning to improve performance. They also updated project dependencies, and refactored core parts of the data pipeline. They were further involved in adapting and extending the existing infrastructure for handling the increased volume and complexity of the data.
Kazoo is a high-level Python library that makes it easier to use Apache Zookeeper.
Role in this project:
Back-end Developer & Technical Writer
Contributions:488 commits, 7 PRs, 8 pushes in 5 years 2 months
Contributions summary:Hanno's contributions primarily focused on improving code quality and documentation within the Kazoo library. They refactored setup scripts, added detailed documentation, including examples for usage and API references, and fixed numerous spelling and grammar issues across the codebase. The user also addressed multiple bugs and identified areas for future improvement, as evidenced by the addition of TODO comments. These edits enhanced the library's clarity, usability, and maintainability.
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