NilsĀ Bunge
Head Of Product at Tsuga
Paris, Ile-de-France
Summary
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Rockstarš
Top SchoolNils Bunge is a product leader with 8 years of experience building observability and platform products, currently Head of Product at Tsuga after leading multiple platform and log management initiatives at Datadog. He combines a strong technical groundingāMSc in Signal Processing from Imperial Collegeāwith hands-on engineering contributions such as improving AWS Lambda integrations for Datadogās serverless log collection. At Datadog he scaled platform teams, defined SLO-driven reliability practices, and unified onboarding across internal platforms, growing and mentoring product managers along the way. Known for bridging deep backend/cloud expertise and product strategy, he excels at turning complex telemetry and scalability challenges into developer-friendly platforms.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Signal processing and communication, Master of Science (MSc), Signal processing and communication at Imperial College LondonTelecom ParisTechMobile communication, Mobile communication at EURECOM
French, English, German
Github Skills (14)
aws-s310
datadog10
aws-lambda10
boto10
cloudwatch10
amazon-s310
cloud-monitoring10
python10
s3-bucket10
logging9
google-cloud-kms8
json8
aws8
devops7
Programming languages (9)
Github contributions (5)
DataDog/datadog-serverless-functions
Oct 2017 - Sep 2019
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Back-end & Cloud Engineer
Back-end & Cloud EngineerContributions:114 commits, 74 PRs, 70 pushes in 1 year 11 months
Contributions summary:Nils primarily contributed to the AWS Lambda function within the repository, focusing on integrating it with Datadog for log collection and monitoring. Their work involved implementing core functionalities for parsing events from different sources like S3 and CloudWatch, sending logs to Datadog's intake, and adding features for automatic source detection. They also improved the configuration, added custom tags, and handled KMS encrypted API keys, demonstrating a focus on both backend logic and cloud infrastructure aspects.
aws-lambdaazure-functionsdatadoglambda
DataDog/logstash-output-datadog_logs
Dec 2017 - Jan 2019
DatadogLogs lets you send logs to Datadog based on LogStash events.
Contributions:5 commits, 4 PRs, 1 push in 1 year
datadoglogstash
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