Summary
Highly accomplished Data Center Manager with 10+ years of progressive experience in leading and optimizing critical data center operations for global technology firms. Proven expertise in infrastructure management, network architecture, and ensuring robust, scalable, and secure environments. Adept at driving efficiency, reducing operational costs, and implementing strategic improvements to enhance reliability and performance.
Experience
- Oversee 200,000 sq ft data center operations, ensuring 99.999% uptime for critical services supporting millions of users.
- Managed an annual operating budget exceeding $25M, achieving 15% cost savings through vendor contract renegotiations and energy efficiency initiatives.
- Managed daily operations of a Tier III data center supporting Azure cloud services, maintaining 99.99% availability.
- Reduced mean time to recovery (MTTR) by 25% through the development and implementation of new incident response protocols.
- Led a team of 8 technicians in maintaining network infrastructure and server hardware within corporate data centers.
- Improved cable management practices, reducing network latency by an average of 5ms across critical connections.
- Developed and delivered training for new hires on operational procedures and safety protocols, decreasing onboarding time by 15%.
Projects
- Developed a custom monitoring dashboard using Grafana, Prometheus, and Python to aggregate server health, network performance, and environmental data.
- Integrated SNMP and IPMI agents to collect real-time metrics, providing a unified view of critical infrastructure status and proactive alerts.
- Reduced manual checks by 40% and improved response time to potential issues by enabling immediate visualization of anomalies.
- Created Ansible playbooks and Terraform scripts to provision and configure a virtualized data center lab environment, including network devices and servers.
- Automated the deployment of an entire test infrastructure in under 30 minutes, significantly accelerating development and testing cycles.
- Demonstrated proficiency in modern IaC principles for reproducible and scalable infrastructure management.
- Designed a Python-based tool to analyze power consumption data from PDUs and identify energy-inefficient server racks.
- Provided recommendations for server consolidation and workload balancing, potentially reducing energy costs by 10-15% in test scenarios.
- Simulated various power load scenarios to optimize rack densities and improve Power Usage Effectiveness (PUE).
Education
- Specialized in IT Infrastructure Planning and Management
- Graduated with High Honors, GPA: 3.8/4.0
- Relevant coursework included Data Structures, Networking, and Operating Systems
- Dean's List 6 semesters





