Kamil Dziedzic is an Engineering Manager with 19 years of hands-on experience building and shipping backend systems, APIs, and database tooling across startups and enterprise projects. He combines leadership with deep technical chops in Go and PHP, having improved critical open-source projects like mysqld_exporter, Percona Toolkit, and the Propel ORM. Comfortable in both people and technical management, he applies Agile practices to boost team communication, CI/CD, and operational observability (Grafana, Nagios, Splunk). His work spans distributed systems, message queuing, and performance-sensitive instrumentation—demonstrated by contributions that tightened SQL handling, connection management, and query analytics. Based in Avignon, he brings a pragmatic, improvement-minded approach and a curiosity for new stacks (node.js, python) while still contributing meaningful fixes to widely used open-source tooling.
Contributions:11 commits, 14 PRs, 41 comments in 1 year 4 months
Contributions summary:Kamil primarily contributed to enhancing the functionality and maintainability of the `mysqld_exporter`. They focused on improving connection management by setting limits on the number and lifetime of connections. Their work also involved refactoring the exporter to be used as a library, enabling better code organization and reusability. Furthermore, they fixed the landing page and improved the configuration by ignoring boolean keys, and updated the go-sql-driver to support MySQL 8.
Percona Toolkit: a collection of advanced open source command-line tools.
Role in this project:
Back-end Developer & Database Engineer
Contributions:82 commits, 16 PRs, 77 pushes in 1 year 1 month
Contributions summary:Kamil primarily contributed to the `mongolib/stats` and `mongolib/fingerprinter` packages, focusing on implementing statistics gathering and fingerprinting functionality for MongoDB queries within the Percona Toolkit. Their work involved refactoring code, adding error handling, and incorporating concurrency with mutexes. The commits show the user enhancing the fingerprinting of queries to include more types and modifying the query representation for better marshaling and debugging within the system.
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