Pierre Guceski
Forward Deployed Engineer at Tsuga
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolPierre Guceski is a Forward Deployed Engineer based in Paris with a decade of experience designing and operating observability solutions and enablement programs across startups and enterprise environments. He built and led technical enablement and knowledge teams at Datadog and Synthesia, turning documentation and training into scalable, AI-augmented learning systems that saved thousands of hours and improved cross-functional knowledge flow. Hands-on in cloud-native observability, he contributes to notable open-source Datadog projects—improving AWS Lambda/Azure Functions pipelines and core agent integrations for databases and infrastructure metrics. Equally comfortable in code and comms, he combines backend development chops with a knack for turning complex telemetries into actionable guidance for engineers and customers. Not obvious at first glance: he applies product thinking to documentation and enablement, treating knowledge as a deployable, measurable feature of the product.
10 years of coding experience
8 years of employment as a software developer
Master 2 (M2) Technologie informatique / technologie des systèmes informatiques, Master 2 (M2) Technologie informatique / technologie des systèmes informatiques at Télécom Paris
French, German, English
Github Skills (15)
datadog10
monitoring10
intergration10
integrate10
serverless-functions10
python10
integrations10
mysql9
mongodb-database9
mongodb9
kafka9
azure-functions9
aws-lambda9
windows8
documentation8
Programming languages (14)
Github contributions (5)
DataDog/integrations-core
Aug 2017 - Jan 2022
Core integrations of the Datadog Agent
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 720 commits, 769 PRs in 4 years 5 months
Contributions summary:Pierre primarily contributed to the Datadog integrations-core repository by modifying various check configurations, especially for databases like MySQL and MongoDB and for infrastructure components like Kafka. Their commits involved adjusting metric reporting, modifying connection parameters, and improving event handling. The contributions also extended to updating dependencies related to Windows WMI checks and fixes to documentation. These modifications indicate a focus on enhancing the collection and reporting of metrics within the Datadog Agent.
datadog-agentagentintegrationsmonitoringdatadog
DataDog/datadog-serverless-functions
Oct 2018 - Oct 2019
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:Backend Developer
Backend DeveloperContributions:12 commits, 3 PRs, 4 pushes in 11 months
Contributions summary:Pierre's contributions primarily focused on modifying AWS Lambda and Azure Functions code within the repository. They updated placeholder values, enhanced configuration documentation, and merged branches. The code changes involved modifications to environment variables, configuration parameters, and integrations within Datadog monitoring services.
azure-functionsserverlessaws-lambdastreamsaws
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