Vasu Babu Yenuganti
About Vasu Babu Yenuganti
Vasu Babu Yenuganti is a Senior DevOps Engineer at Bayview Asset Management, LLC, where he has worked since 2021. He has a background in cloud engineering and has held various positions in the United States and India, focusing on deploying cloud solutions and enhancing automation.
Work at Bayview Asset Management
Vasu Babu Yenuganti has been serving as a Senior DevOps Engineer at Bayview Asset Management, LLC since 2021. His role involves leveraging his expertise in cloud technologies and automation to enhance operational efficiency. Located in Michigan, United States, Yenuganti contributes to the company's infrastructure management and deployment processes, focusing on optimizing cloud resources and streamlining workflows.
Previous Experience in DevOps
Prior to his current position, Yenuganti held several roles in the DevOps field. He worked at Royal Caribbean Group as an SRE / DevOps Cloud Engineer from 2019 to 2021, where he focused on cloud engineering solutions. Before that, he was a DevOps Engineer at T. Rowe Price from 2018 to 2019, and at CoreLogic from 2016 to 2017. His career began at Taxilla as a Cloud/DevOps Engineer from 2014 to 2015.
Education and Expertise
Yenuganti earned his Bachelor's degree in Information Technology from Jawaharlal Nehru Technological University, Kakinada, completing his studies from 2010 to 2014. His educational background provides a solid foundation for his technical skills in cloud computing and DevOps practices. He has developed proficiency in tools such as Terraform, Ansible, and Shell scripting, which he utilizes in his professional roles.
Technical Contributions
In his professional capacity, Yenuganti has developed custom Terraform, Ansible, and Shell scripts for deploying Elastic Cloud Enterprise on AWS. He has also utilized Terragrunt to improve the reusability of Terraform templates across various platforms. Additionally, he implemented a transition strategy for application teams to migrate from on-premise to cloud environments, specifically using EKS and GKE.