Umer Saeed is a Cloud Consultant with eight years of hands-on experience optimizing cost, performance, and security across AWS and Azure, currently delivering cloud efficiency at Capacitas. He combines deep DevOps and CI/CD expertise—especially in Azure pipelines—with strong scripting and automation skills (Python, Bash, PowerShell), Infrastructure as Code (Terraform, Ansible), and container orchestration (Docker, Kubernetes). His background spans enterprise projects from Jaguar Land Rover supplier platforms to multicloud deployments at Kubrick Group, where he also led test automation and reliability work. Pursuing an MSc in Big Data Science at Queen Mary University of London and with PhD research experience noted on GitHub, he bridges data-driven insights with practical cloud engineering. Umer is comfortable navigating stakeholder-facing roles and agile delivery while mentoring junior engineers, bringing a rare mix of mathematical training and cybersecurity-aware cloud craftsmanship.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Big Data Science, Master of Science - MS Big Data Science at Queen Mary University of London
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