• Server Management: Administered and optimized server environments, including VMware vCenter/vSphere, VirtualBox, and Hyper-V, ensuring 99.9% uptime.• Cloud Operations: Managed cloud infrastructure on Microsoft Azure, leveraging Power BI and IBM Cognos for performance monitoring and data analysis. • Performance Optimization: Implemented Prometheus and Grafana for real-time monitoring, reducing system downtime by 20% and improving resource utilization by 15%. • Incident Management: Utilized ITIL methodologies in ServiceNow to resolve critical incidents promptly, achieving SLA compliance and enhanced client satisfaction. • Cost Management: Streamlined CapEx and OpEx budgeting processes, reducing operational expenses by 12%. • Security and Compliance: Deployed SecureIT and CyberArk for enhanced system security, ensuring 100% compliance in internal audits. • Infrastructure Maintenance: Performed server patching, live migrations, and vulnerability remediation to ensure optimal performance and reduced downtime.

• Optimized IT operations through advanced analysis, improving resource utilization by 15%.• Designed forecasting models to boost operational efficiency by 10%..• Implemented real-time monitoring systems, achieving a 20% reduction in downtime. • Streamlined CapEx and OpEx budgeting, cutting operational costs by 12%.• Ensured regulatory compliance and mitigated risks, achieving 99% audit success.

• Achieved operational objectives by collaborating with senior managers and decisionmakers.• Analyzed and defined operational problems based on management input. • Maintained scalability, performance, and stability of Windows systems, servers, and clusters. • Delivered remediation support for business-specific vulnerabilities and executed preventive measures. • Trained and managed new project resources. • Managed data stores, clusters, and servers (350+) for 15+ different customers. • Resolved incidents within SLA, following ITIL practices. • Conducted Live Migration of resources and server dependencies.

• Applied statistical techniques to maintain large databases for customer data analysis. • Identified, analyzed, and interpreted trends using correlations and visualizations. • Ensured data integrity during extraction, manipulation, and processing. • Presented progress and results reports to managers and teammates. • Provided recommendations for business and operational process improvements.