Shaul Garbourg is a pragmatic technology leader and Head of R&D with a decade-plus track record of building cloud-native data platforms, microservices, and CI/CD-driven delivery pipelines across AWS, Azure and GCP. He specializes in making complex systems—Spark, Kafka, Iceberg/Delta, Snowflake/BigQuery and Kubernetes—elegant, scalable and easy to operate while reducing developer toil. At Amdocs he has moved from hands‑on backend and DevOps leadership to setting product and technical vision for mission‑critical DataOne Core and an agentic SDLC portal that unifies multi‑cloud data engineering workflows. He pairs deep engineering craft (Spring Boot, Go, Terraform, Helm, Spark) with people‑first leadership, coaching teams to ship faster without burnout. Notably, he focuses on practical Generative AI applications that automate boring work for engineers rather than hype, driving measurable productivity gains.
5 years of coding experience
17 years of employment as a software developer
Bachelor's degree Business Management Marketing Entrepreneurship and Related Support Services, Bachelor's degree Business Management Marketing Entrepreneurship and Related Support Services at MLA - The center of Academic Studies
JAVA/J2EE and SW Architecture including Design Patterns., JAVA/J2EE and SW Architecture including Design Patterns. at John Bryce
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