Nisan Haramati is a founder and principal distributed systems engineer with 13 years building resilient, large-scale real-time data platforms across companies like Snowflake, NVIDIA, Netflix, and Wallaroo Labs. He specializes in real-time ingestion, observability, and automation—designing systems that prioritize correctness, data quality, and long-term maintainability while delivering core value early. At Snowflake he led observability for a global services platform handling trillions of events per day, and at NVIDIA he drove unified fleet management and geospatial data automation for large-scale AI infrastructure. A core contributor to Wallaroo’s distributed stream processing ecosystem, he blends hands-on backend and DevOps work with formal and empirical verification techniques to harden systems under chaos. He pairs his technical depth (physics/math background) with a habit of engaging product and operational stakeholders directly, which helps turn high-level objectives into production-ready, auditable solutions. Outside work he pursues physics, cooking, and community engagement—reflecting a practical curiosity that often leads to elegant, pragmatic engineering choices.
13 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.) Physics Math, Bachelor of Science (B.Sc.) Physics Math at The University of British Columbia
Contributions:708 commits, 160 PRs, 543 pushes in 3 years 5 months
Contributions summary:Nisan appears to be working on refactoring the `wally` distributed stream processing system, focusing on the `buffy` component. The commits involve migrating functionality, adding state management for throughput and latency measurements, and refactoring worker functions and the command-line interface. Additionally, the user has been implementing file-based output with support for multi-output and resilience features, as well as adding a market trade processor.
Contributions:2 PRs, 53 pushes, 3 branches in 4 years 11 months
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