Chibike Nnorom
@chibikennorom1
I build scalable distributed systems, APIs, and cloud-native data platforms.
What I'm looking for
I've spent 13+ years building scalable distributed systems, APIs, and data platforms across cloud-native environments. At Deloitte, I modernize legacy services into containerized microservices on AWS and GCP.
I build high-throughput REST APIs and gRPC services in Python and Go, reducing API latency by 45% and improving concurrent-client capacity. I also establish CI/CD, infrastructure-as-code, observability, and SRE practices that reduced MTTR by 60%.
Previously at Flow-Cal, I built TypeScript and Python backend services, asynchronous telemetry pipelines, and Kubernetes-based releases for internal analytics and external partners.
My earlier work at General Motors included enterprise integrations and telemetry ingestion services, message-based pipelines, relational data management, and engineering deployment practices. I enjoy applying systems thinking, automation, and data-driven operations to high-availability production systems.
Experience
Work history, roles, and key accomplishments
Led platform modernization using AWS and GCP, migrating legacy services to containerized microservices with Docker, Kubernetes, and deployment orchestration via Argo CD and Helm. Designed and implemented high-throughput REST APIs and gRPC services in Python and Go, reducing API latency by 45% and improving capacity for concurrent clients.
Education
Degrees, certifications, and relevant coursework
Texas A&M University
Master of Business Administration, Business Administration
Master of Business Administration from Texas A&M University, completed in May 2015.
Nnamdi Azikiwe University
Bachelor of Science, Computer Engineering
Bachelor of Science in Computer Engineering from Nnamdi Azikiwe University, completed in May 2005.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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