Shay Elkin is a staff software engineer with 11 years of experience building scalable, cost-efficient distributed systems and streaming platforms; he currently drives reliability, multi-tenancy, and cost optimization for Confluent Cloud’s Kafka implementation across AWS, Azure, and GCP. His background spans analytics and real-time infrastructure—designing predictive analytics services at Mixpanel, low-latency geolocation and mesh proxy systems at Life360, and stream-processing migrations as a founding engineer at Cemmerce. Shay combines strong theoretical grounding (M.Sc. in Mathematics) with hands-on impact: notable wins include 10× latency reductions, 33% compute savings, and dramatically faster onboarding through stream architectures. Based in Berkeley, he excels at turning ambitious performance and observability goals into production-grade, cloud-native solutions.
11 years of coding experience
10 years of employment as a software developer
M.Sc. Mathematics, M.Sc. Mathematics at The Hebrew University of Jerusalem
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