Jonathan Sarig is a backend-leaning software engineer and startup CTO with five years of experience building data-driven systems and open-source tooling in Rust, Go, and Python. He has delivered production data warehouses, ML APIs, and ELT/Cloud governance fixes at organizations like CloudQuery and Upstream Security, and earlier designed analytics platforms for the IDF鈥檚 Cyber Defense Directorate. As a co-founder and technical lead, he blends hands-on bug-fixing鈥攕uch as precise AWS policy and ELB query corrections in the CloudQuery codebase鈥攚ith product-facing architecture work for new ventures. His toolset spans fast backend services, Apache Arrow-powered ETL, Airflow pipelines, and statistical/ML libraries used across teams. Based in Israel, he pairs a strong math and physics curiosity with practical engineering discipline, often favoring high-performance, correctness-focused solutions. Notably, he moves fluidly between low-level query logic and higher-level ML deployments, a combination that accelerates both reliability and innovation.
Contributions:2 reviews, 6 PRs, 4 branches in 1 year 2 months
Contributions summary:Jonathan primarily contributed to the project by fixing bugs within the AWS policies queries. They addressed issues related to incorrect conditions, case sensitivity, and redundant rows, primarily within the `secretsmanager`, `kms`, `elasticbeanstalk`, and `ssm` AWS services. Their work involved modifying SQL queries and associated logic within the codebase to align with desired functionality and improve accuracy. The user also modified an ELB query to ensure HTTPS/SSL listeners were using a predefined security policy.
Contributions:8 pushes, 1 branch in 1 year 7 months
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