Yashas Sd
About Yashas Sd
Yashas Sd is a DevOps Engineer currently working at Gupshup in Bengaluru, India. He has a background in Computer Science and experience in integrating CI/CD pipelines, provisioning Docker containers, and orchestrating Kubernetes clusters.
Current Role at Gupshup
Yashas Sd currently serves as a DevOps Engineer at Gupshup, a position he has held since 2022. He is based in Bengaluru, Karnataka, India. In this role, he focuses on enhancing the automation of build, test, and deployment processes. His responsibilities include collaborating with cross-functional teams to integrate Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Jenkins, GitLab CI/CD, and AWS CodePipeline.
Previous Experience at OneDirect
Prior to his current role, Yashas worked as an Associate DevOps Engineer at OneDirect from 2021 to 2022 for a duration of nine months. During his time at OneDirect, he gained practical experience in DevOps practices and contributed to various projects that improved operational efficiency. His work in Bengaluru, Karnataka, provided him with foundational skills that he has since built upon in his current position.
Education and Expertise
Yashas Sd earned a Bachelor of Technology (BTech) in Computer Science from Jain (Deemed-to-be University) from 2017 to 2021. This educational background equipped him with essential knowledge and skills in computer science principles, programming, and software development. His academic experience laid the groundwork for his career in DevOps engineering.
Technical Skills and Projects
Yashas has developed a range of technical skills in his career. He has provisioned Docker containers and clusters on Nutanix cloud infrastructure to create staging environments for testing and development. Additionally, he has implemented a comprehensive monitoring and logging solution using Amazon CloudWatch, Grafana, ELK stack, Loki, and Prometheus. This work has enhanced system performance insights and compliance. He has also orchestrated Kubernetes clusters on AWS to ensure the seamless deployment and scalability of containerized applications across multiple environments.