Swathi Cherukuri
About Swathi Cherukuri
Swathi Cherukuri is a Storage Engineer at Thomson Reuters in Bangalore, where she has worked since 2019. She specializes in managing CIFS Shares and NFS exports, and is experienced in data migration and disaster recovery activities.
Work at Thomson Reuters
Swathi Cherukuri has been employed at Thomson Reuters as a Storage Engineer since 2019. In this role, she is based in Bangalore and has accumulated five years of experience in the field. Her responsibilities include managing and troubleshooting CIFS Shares and NFS exports, which are critical for data storage and access. Additionally, she provides support for Lift and Shift activities and performs disaster recovery activities, ensuring data integrity and availability.
Education and Expertise
Swathi Cherukuri earned her Master of Computer Applications (MCA) degree from Vasireddy Venkatadri Institute of Technology, where she studied from 2010 to 2013. Her education has equipped her with a strong foundation in computer applications, which she applies in her professional role. She specializes in managing and troubleshooting CIFS Shares and NFS exports, and is experienced in both disruptive and non-disruptive data migration processes.
Technical Skills
Swathi Cherukuri possesses a range of technical skills relevant to her role as a Storage Engineer. She is skilled in configuring switch ports and fabric zoning on Cisco switches, which are essential for network management. Her expertise also includes performing disaster recovery activities, ensuring that data can be restored in the event of a failure. Additionally, she supports Lift and Shift activities, facilitating the movement of data and applications.
Background
Swathi Cherukuri has built a career in storage engineering, focusing on data management and migration. Her educational background in computer applications has provided her with the necessary skills to excel in this field. Since joining Thomson Reuters, she has developed her expertise in various aspects of storage management, contributing to the efficiency and reliability of data systems.