Nitin Garg
About Nitin Garg
Nitin Garg is a Database Administrator Team Lead with extensive experience in database management and automation. He has worked for several companies including Infosys, ADP, and Cognizant, and currently leads database administration at Lone Wolf Technologies.
Work at Lone Wolf Technologies
Nitin Garg currently serves as the Database Administrator Team Lead at Lone Wolf Technologies, a position he has held since 2021. He operates out of the Greater Toronto Area, Canada. In this role, he is responsible for overseeing database administration tasks and leading a team to ensure efficient database management and operations.
Previous Experience at Infosys
Nitin Garg worked at Infosys in various roles from 2006 to 2012. He began as a Software Engineer in Infrastructure Management, followed by a position as Technology Analyst focusing on SQL Database Administration. He later transitioned to a Consultant role in SQL DBA, where he automated database patching for 1500 servers using SCCM tasks and PowerShell.
Career at Cognizant
At Cognizant, Nitin Garg held multiple positions from 2012 to 2018. He started as an Associate Operations Manager at Loblaw Companies Ltd. and progressed to Service Operations Manager. During his tenure, he developed over 100 reusable workflows for robotic automation using PowerShell, enhancing operational efficiency.
Education and Expertise
Nitin Garg earned a B.Tech in Electronics and Communications Engineering from Dr. A.P.J. Abdul Kalam Technical University, studying from 2001 to 2005. He has developed expertise in various technologies, including AI and catalytic automation using Python, PowerShell, T-SQL, Shell, Batch, and Ansible. His skills encompass database high availability solutions and extensive performance monitoring.
Database Migration and Automation Skills
Nitin Garg has significant experience in conducting database migrations, particularly with Amazon AWS and Microsoft Azure. He has managed migrations for both small and large databases. Additionally, he has implemented processes for database edition downgrades and decommissioning, resulting in substantial savings in licensing costs.