JonathanĀ Vanbriesen
Software Engineer at Datadog
Pittsburgh, Pennsylvania, United States
Summary
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Rockstarš
Top SchoolJonathan Vanbriesen is a software engineer with a decade of experience building backend systems and cloud integrations, currently contributing at Datadog in Pittsburgh. He focuses on serverless architectures and observability, having updated and extended Datadog's serverless functions to Python 3, new Lambda layers, and enhanced RDS monitoring metrics. Jonathan brings an applied ML background from internships at Rocket Software and Carnegie Mellon, where he ported models to TensorFlow and improved query-understanding accuracy, reflecting strength in moving research into production. As a former head TA for functional programming, he pairs strong engineering discipline and tooling ownership with hands-on debugging of autograders and scripting. Colleagues would note his blend of practical cloud-native experience and a knack for improving compatibility and instrumentation in distributed systems.
10 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Carnegie Mellon University
Github Skills (6)
datadog10
aws-lambda10
python10
aws9
serverless-functions9
rds8
Programming languages (6)
Github contributions (5)
DataDog/datadog-serverless-functions
Apr 2020 - Dec 2022
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Backend Developer
Backend DeveloperContributions:15 releases, 26 reviews, 71 commits in 2 years 8 months
Contributions summary:Jonathan primarily contributed to the backend functionality of the serverless functions, focusing on processing streams and sending data to Datadog. They updated the code to use Python 3 and a new Lambda layer, demonstrating a focus on maintaining compatibility and leveraging existing infrastructure. Furthermore, the user made modifications to incorporate Datadog metrics and adjust the codebase for improved functionality, specifically in the context of RDS enhanced monitoring. The contributions reveal a strong understanding of Datadog integration and AWS Lambda functions.
azure-functionsserverlessaws-lambdastreamsaws
DataDog/cloudformation-template
Apr 2021 - Aug 2022
Easily set up the Datadog AWS integration using CloudFormation
Contributions:48 reviews, 32 commits, 49 PRs in 1 year 3 months
aws-integrationaws-datadogset-upawscloudformation
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