Daniel Benamy is an experienced software leader with a decade-plus career building resilient, high-throughput systems and developer tools from startups to large platform teams. Currently leading AI coding and testing at Datadog after heading their profiler and developer-efficiency efforts, he blends hands-on engineering with team leadership to improve observability, reliability, and developer productivity. He has deep backend and systems experience—from session and caching middleware contributions in open-source projects to building high-availability messaging and monitoring stacks at companies like Stripe and Mobile Commons. A Columbia MS graduate and long-time independent consultant, Daniel is equally comfortable debugging production incidents, designing scalable architectures, and shipping test-driven automation that prevents them. An underrated strength is his track record of pragmatic tooling work that quietly raises the bar across organizations, from CI and deploy systems to profiling and on-call reliability.
10 years of coding experience
10 years of employment as a software developer
BS Computer Engineering, BS Computer Engineering at Binghamton University
MS Computer Science, MS Computer Science at Columbia University
Contributions:5 commits, 3 PRs, 3 comments in 29 days
Contributions summary:Daniel primarily contributed to the `beaker` project by adding and modifying session-related functionalities. They added an option to save the accessed time within sessions, and corrected a typo within the codebase. Furthermore, the user refactored test cases related to session timeouts and accessed time behaviors. This work demonstrates expertise in session management and related configurations within the project's WSGI middleware.
Contributions:5 commits, 1 PR, 4 pushes in 10 months
door-locklocksensorshacshome-automation
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Daniel Benamy - AI Coding & Testing Lead at Datadog