Summary

Experience

Senior Data Center Manager|Google

Mountain View, CAJul 2019Present

• 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.

Data Center Operations Manager|Microsoft

Redmond, WAMar 2015Jun 2019

• 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.

Data Center Technician Lead|Cisco Systems

San Jose, CAJun 2013Mar 2015

• 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

Automated Data Center Monitoring Dashboard

Mar 2022Sep 2022

• 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.

Infrastructure-as-Code (IaC) for Lab Environment

Jan 2021Jun 2021

• 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.

Power Consumption Optimization Tool

Aug 2020Dec 2020

• 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

Carnegie Mellon University|Master of Science in Information Systems Management

Pittsburgh, PAAug 2011May 2013

• Specialized in IT Infrastructure Planning and Management
• Graduated with High Honors, GPA: 3.8/4.0

University of California, Berkeley|Bachelor of Science in Computer Science

Berkeley, CAAug 2007May 2011

• Relevant coursework included Data Structures, Networking, and Operating Systems
• Dean's List 6 semesters

Skills

Data Center Management

Infrastructure OperationsPower & Cooling Systems (HVAC, UPS, PDU)Physical SecurityCapacity PlanningDisaster Recovery

Network & System Administration

Cisco IOSJuniper JunosLinux (RHEL, Ubuntu)Windows ServerVirtualization (VMware, Hyper-V)Storage (SAN, NAS)

Cloud & Automation

AWSMicrosoft AzureGoogle Cloud Platform (GCP)AnsiblePython ScriptingShell Scripting

Project & Operations

ITILAgile MethodologiesVendor ManagementBudget ManagementTeam LeadershipRisk Management