Ray Ruvinskiy is a technology leader with 12+ years building and scaling cloud-native data platforms and distributed systems, currently directing an AI content platform after leading pipeline operations that processed hundreds of billions to trillions of events per day. He combines hands-on systems expertise across Python, Go, Java, C/C++, Kubernetes, AWS, streaming/batch processing and low-level networking with proven success growing and coaching teams from small squads to ~30 engineers. Ray has a track record of delivering high-throughput ingestion, enrichment and correlation pipelines on time—unlocking revenue and shortening project timelines—while prioritizing observability, resilience and sustainable ways of working. An active contributor to production-grade open-source (notably backend work on grafana/carbon-relay-ng), he brings a rare mix of deep protocol-level experience and pragmatic leadership informed by a Waterloo MMath in Computer Science.
12 years of coding experience
21 years of employment as a software developer
Master of Mathematics Computer Science, Master of Mathematics Computer Science at University of Waterloo
Fast carbon relay+aggregator with admin interfaces for making changes online - production ready
Role in this project:
Back-end Developer
Contributions:7 commits, 3 PRs, 20 comments in 2 months
Contributions summary:Ray primarily contributed to the back-end functionality of the carbon-relay-ng project. Their work focused on implementing and testing a consistent hashing routing strategy, which involved significant changes to the `route.go` file. They refactored the code to store relevant objects by pointer, optimized code, and added unit tests for the routing logic. They also made modifications to metric name validation, enhancing the project's data processing capabilities.
Contributions:2 releases, 4 commits, 2 PRs in 3 years 3 months
aggregationelasticforeignelasticsearchpostgresql
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