Timothy Agin is a software engineer with a decade of experience currently contributing at Datadog from the Denver metro area. He focuses on backend and DevOps work, particularly improving serverless integrations—recently enhancing Datadog’s serverless functions with stronger API key handling, custom scrubbing rules, Azure Functions support, and dependency hygiene. Comfortable operating across cloud-native tooling and production pipelines, he brings practical experience shipping robust, secure telemetry integrations. A Columbia University alumnus, he pairs a strong engineering mindset with an attention to operational detail that helps teams turn complex observability requirements into reliable, maintainable systems.
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Backend & DevOps Engineer
Contributions:34 commits, 20 PRs, 31 pushes in 10 months
Contributions summary:Timothy primarily contributed to the backend functionality of the serverless functions, focusing on improving the integration with Datadog. Their work involved refining API key handling, updating dependencies, and adding features like custom scrubbing rules and filtering. Furthermore, the user enhanced the project by adding configurations for Azure Functions and addressing general code syntax and formatting concerns to ensure the code's robustness and consistency.
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