Dedicated IT Consultant offering 1.4 years of experience in IT vision, development and implementation of programs and systems. Subject matter expert in day-to-day operations, planning, organizing and managing operations and complying with standards and policies. Demonstrated to leverage strategic planning to foster new improvements that maximize productivity and efficiency.
Title: Devops Engineer
DevOps Cost Optimization Project:
Objective: Optimize Azure cloud service costs.
Tools Used: Advanced analytics, Azure Cost Management tools, Jenkins, GitLab CI, Azure DevOps, Power BI, Terraform, ARM templates(1).
Key Actions:
• CI/CD Automation: Executed automated deployment and scaling across 100+ instances, reducing deployment time by 40%.
• Advanced Analytics: Analyzed usage data to identify and execute 25+ cost-saving opportunities, resulting in substantial savings.
• Real-Time Visualization: Designed 10+ Power BI dashboards to visualize cost metrics, facilitating real-time monitoring and decision-making.
Collaboration: Engaged cross-functional teams to implement strategies, enhancing overall project efficiency by 35%.
Outcome: Achieved 30% cost savings and improved cloud resource management efficiency by 45%.
Enterprise Migration Automation:
Objective: Migrate services from cloud to on-premises.
Tools Used: PowerShell, Python, Jenkins, GitLab CI, Azure DevOps, Terraform, ARM templates.
Key Actions:
• Automation Script Development: Generated over 50 automation scripts for seamless migration, reducing manual migration efforts by 60%.
• CI/CD Pipeline Implementation: Applied robust CI/CD pipelines, accelerating migration processes by 40% and ensuring zero downtime.
• Service Migration Automation: Programmed the migration of 100+ services to on-premises, enhancing operational efficiency and consistency.
Coordination: Coordinated with cross-functional teams to ensure smooth migration processes, improving overall project delivery by 35%.
Outcome: Successfully migrated all targeted services, enhancing efficiency by 40% and reducing cloud dependency by 35%.