Anil Vakati
About Anil Vakati
Anil Vakati is a Sr. Systems Engineer at Alight Solutions with extensive experience in IT systems administration and engineering.
Current Position at Alight Solutions
Anil Vakati is currently employed at Alight Solutions as a Sr. Systems Engineer. In this role, he focuses on systems engineering tasks including the management and maintenance of IT systems. He also leads various IT initiatives to improve infrastructure and efficiency within the organization.
Previous Experience at Aon
From 2010 to 2017, Anil Vakati worked at Aon as a Sr. IT Systems Administrator. During this seven-year tenure, he oversaw the administration of IT systems, ensuring their proper function and reliability. Anil was instrumental in achieving SOX compliance for multiple IT systems and implementing a disaster recovery plan that resulted in zero data loss during system failures.
Educational Background
Anil Vakati earned his Bachelor of Engineering degree in Electronics and Communications Engineering from Satyabama Engineering College in Chennai, India. He also holds a Master of Business Administration (MBA) in IT Management from Western Governors University. His educational background has provided him with a strong foundation in both technical and managerial aspects of IT systems engineering.
Leadership in IT Projects
Throughout his career, Anil Vakati has led numerous IT projects. Notably, he led a team that successfully migrated a large-scale data center to a cloud-based infrastructure, significantly reducing operational costs. He also spearheaded the integration of Docker containers into existing infrastructure, which enhanced system scalability and reliability.
Skills in Systems Engineering
Anil Vakati has demonstrated strong skills in systems engineering across various roles. He has developed and maintained CI/CD pipelines that improved deployment efficiency by 30%. He has also designed and implemented SAN and NAS configurations to improve data storage efficiency and accessibility. Additionally, he conducted performance tuning and troubleshooting for high-availability systems, resulting in a 20% increase in system uptime.