Melvyn Peignon
Principal Product Manager, ClickHouse Core Database
Greater Paris Metropolitan Region France
Summary
🤩
Rockstar🎓
Top SchoolMelvyn Peignon is a Principal Product Manager for the ClickHouse core database with a decade of experience shaping data platforms and customer-facing enablement. He combines product leadership with deep technical roots from roles at Elastic where he led curriculum, observability training, and education engineering, and earlier data science work building recommendation and deduplication systems. Based in Greater Paris, he excels at translating complex distributed-database features into practical product and support strategies across global teams. His background blends hands-on prototyping, curriculum design, and worldwide support management, giving him a rare view of both developer needs and operational realities. A lifelong learner and active GitHub presence, he brings academic rigor from advanced studies in computer science and applied data science to drive measurable adoption of database features. Colleagues rely on him to bridge engineering, docs, and customer success to ship impactful, usable data tooling.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Maths-info / Data science, Master's degree, Maths-info / Data science at Ecole internationale des Sciences du Traitement de l'InformationLicense d'informatique, Informatique, License d'informatique, Informatique at Université de Cergy-PontoiseMaster thesis, Computer science, 4.0 GPA, Master thesis, Computer science, 4.0 GPA at 國立清華大學
French, English, German, Chinese
Github Skills (84)
benchmark10
databases10
olap10
duckdb10
database-management10
elasticsearch10
embedded10
cpp10
cloud-native10
visualizations10
big-data10
sql10
ai10
rust10
jruby10
Programming languages (12)
Github contributions (5)
melvynator/ClickHouse
Dec 2021 - Sep 2023
ClickHouse® is a free analytics DBMS for big data
Contributions:1 PR, 15 pushes, 4 branches in 1 year 10 months
data-analyticsanalyticsdbmsmysqlsql
melvynator/ELK_twitter
Jan 2018 - Feb 2018
This is a data pipeline for Twitter (ETL) using the elastic stack Elasticsearch, Logstash and Kibana (version 6.1)
Contributions:2 commits, 6 PRs, 71 pushes in 1 month
data-pipelineelasticsearchelasticstacketlkibana
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