Toluwalashe Omotunde

Led DevOps modernization for AI infrastructure, deploying hybrid multi-cloud (AWS/GCP) Kubernetes GPU clusters and Terraform/Ansible automation that cut provisioning time by 45% and reduced MTTR by 40% while maintaining 99.9% uptime.

Led automation and observability for AI and data systems, migrating pipelines to cloud-native DevSecOps on AWS/OpenShift and implementing GitLab CI/CD that reduced release time by 50% and cut compute costs by 25%.

Led cloud automation and observability for large healthcare clients, delivering Terraform/Ansible IaC, Azure DevOps/GitLab pipelines, and monitoring solutions that reduced deployment time by 50% and improved compliance posture.

Built event-driven automation and IaC for data lake environments using Terraform and CloudFormation, implemented GitOps and CI/CD for EKS clusters, improving deployment reliability and reducing deployment errors by 60%.

Migrated analytics infrastructure to AWS, building Spark/Redshift data warehouse and automating ETL with Airflow and Terraform to reduce content delivery time by 50% and maintain 99.9% uptime for data services.

Supported deployment and monitoring of telemetry systems using Grafana and ELK, automated maintenance workflows with Python/PowerShell, and implemented AWS IAM and S3 policies to improve reporting accuracy and compliance.

Completed a certificate program in Data Science and Analytics focused on statistical analysis and data-driven decision making.

Earned a Master of Science in Chemical Engineering with coursework and projects in process engineering and applied research.

Graduated with a Bachelor of Science in Biosystems and Agricultural Engineering covering agricultural systems and engineering applications.