Mike Heffner is a seasoned video operations manager with 17 years of experience orchestrating large-scale streaming media workflows, metadata frameworks, and 24/7 content delivery for IPTV, TVE, and OTT platforms. He leads end-to-end ingestion and DAM operations that process over 250,000 assets annually and has driven multimillion-dollar storefront deliveries while building resilient, automated pipelines to ensure on-time publishing. Equally comfortable with editorial and technical teams, he blends a photojournalism background and hands-on product work to translate creative requirements into robust operational specs and platform improvements. Mike contributes backend engineering work to open-source metrics tooling—refactoring statsd and adding integrations to statsite—demonstrating attention to reliable observability and modular design. Known for proactive problem-solving, immediate responsiveness, and strong vendor relationships, he excels at normalizing complex partner metadata and defining pragmatic feature requirements. Based in Blacksburg, VA, he thrives in high-pressure, deadline-driven environments where rapid adaptation and operational excellence matter.
17 years of coding experience
12 years of employment as a software developer
B.S., Mass Communication, magna cum laude, B.S., Mass Communication, magna cum laude at James Madison University
Contributions:1 review, 18 commits, 3 PRs in 10 years 9 months
Contributions summary:Mike primarily focused on refactoring and enhancing the statsd backend functionality. They updated unit tests to reflect code changes, added error handling to the stats write callback and refactored the backend to improve modularity by splitting graphite persistence into a separate backend module. Furthermore, the user made minor code improvements for better readability.
Contributions:5 commits, 1 PR, 7 comments in 6 days
Contributions summary:Mike implemented a Librato sink for the `statsite` project, enabling the aggregation and forwarding of metrics to the Librato service. They introduced configuration options, metric aggregation logic, and payload size limitations. Furthermore, the user refactored the code, correcting the configuration file type and enhancing documentation. The work primarily focused on extending the functionality of statsite to support integration with a third-party monitoring platform.
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