Dario Gieselaar

Principal Software Engineer II at Elastic

Amsterdam, North Holland, Netherlands
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Summary

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Dario Gieselaar is a Principal Software Engineer II based in Amsterdam with 13 years of experience building observability, APM, search and generative AI features at scale. At Elastic he blends back-end engineering, DevOps and data-driven product thinking to turn telemetry into actionable insights, contributing to prominent open-source work in the Kibana APM codebase. He’s fluent in TypeScript and Elasticsearch aggregations, frequently designing solutions that reason about both existing and missing data to improve monitoring and performance. A pragmatic hands-on leader, he has driven architecture and chapter-level coaching at high-traffic consumer sites and earned multiple outstanding contribution awards at Elastic. Collected academic study in political science and cultural studies hints at a habit of asking broader systemic and user-centered questions when solving technical problems.
code13 years of coding experience
job14 years of employment as a software developer
bookAlgemene Cultuurwetenschappen, Algemene Cultuurwetenschappen at Vrije Universiteit Amsterdam (VU Amsterdam)
bookPoliticologie, Politicologie at University of Amsterdam
bookVWO N&T, VWO N&T at VeenLanden College, Mijdrecht
bookOSB Willespoort
languagesEnglish, Dutch
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Stackoverflow

Stats
21reputation
1kreached
3answers
2questions
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Github Skills (22)

performance-monitor10
amazon-elasticsearch10
typescript10
application-monitoring10
apm10
elasticsearchquery10
aws-elasticsearch10
typescript-types10
elasticsearch10
typescripts10
performance-monitoring10
elasticsearch-api10
java9
devops9
javas9

Programming languages (10)

TypeScriptC#JavaCSSGherkinJavaScriptGoHTML

Github contributions (5)

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elastic/kibana

May 2019 - Jan 2023

Your window into the Elastic Stack
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:2972 reviews, 564 commits, 1591 PRs in 3 years 9 months
Contributions summary:Dario contributed to APM-related backend features, including filtering based on transaction names. They implemented functionality to filter throughput on transaction names, and made code changes to several server-side components. The commits also indicate a focus on infrastructure-related tasks like setting dates in APM ML jobs and using new path syntax in a waterfall visualization.
elasticdashboardskibanaobservabilitywindow
dgieselaar/apm-agent-rum-js

Aug 2020 - Jan 2025

Elastic APM Real User Monitoring JavaScript agent
Contributions:8 pushes, 1 branch in 4 years 4 months
agentapmelasticjavascriptelastic-apm
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