Adedamola Ogunkanmi
Devops Engineer @Teknewlogy
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WORK HISTORY
Devops Engineer @Teknewlogy
Used Azure DevOps for version control, reporting, requirements management, project management, automated builds, testing and release management capabilities. It covers the entire application lifecycle, and enables DevOps capabilities- Develops and maintains infrastructure as code(Terraform), observability and monitoring, alerting, continuous integration and deployment- Participates in code reviews with peers and managers to ensure that each increment adheres to original vision as described in the user story and all standard resource libraries and architecture patterns as appropriate- Leads and contributes to the development, maintenance, and usage of deployment and task automation (OS, database services, virtual networks, or other platform services), and implementing CD/CD pipelines using Infrastructure as Code (IaC) techniques- Manages existing Docker Swarm and Azure DevOps CI/CD pipelines, ensuring they can run smoothly with minimal to zero downtime.
EDUCATION
University of Wollongong
Master of Science (MS), Geophysics and Seismology
Colorado School of Mines
Master's degree, Data Science (AI/ML)
Obafemi Awolowo University
Bachelor of Science (BSc), Geology/Earth Science, General
SKILLS
ABOUT ADEDAMOLA OGUNKANMI
Result-driven Cloud DevOps and AI Engineer who excels in collaborating with development teams to implement automation solutions using technologies like Amazon Web Services (AWS), Ansible, Jenkins, ECS, and Terraform to automatically build, test, integrate, and deploy complex, modern systems. Keeps my skills up to date with the latest technologies, tooling, concepts, and best practices; a proven problem solver with ability to understand and decompose complex and high-uncertainty challenges. My focus is increasing the velocity of development and the delivery of applications while minimizing downtime.Helping medium and large companies and enterprises design, implement and integrate AI models and workloads into their unique business processes and applications using best in class Gen and autonomous AI models like GPT, O3, O1, Phi, Claude, etc. Working with tools and services like Copilot Studio, Azure AI foundry, Power platform, Microsoft 365 cloud, Microsoft Teams, Entra ID, AI Agent Builder, SharePoint Online, Microsoft 365 Copilot, Agentic AI framework and toolkit, Model Context protocol Server to help our enterprise customers implement and realize the promise of AI in the business.Helping companies envision the role of AI in their unique business environments and implement Microsoft Copilot family of Gen AI solutions to help save cost, drive up employee productivity, while helping to modernize and position the company for the future.AWS/Azure Cloud DevOps Engineer with 4+ years’ experience in designing, configuration, and implementation of CI/CD pipelines to automate software delivery processes and the general management of cloud infrastructure while working alongside engineering team to develop and maintain container deployment, continuous integration, and monitoring systems within a Docker and AWS environment.
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