Bhavesh Sharma
About Bhavesh Sharma
Bhavesh Sharma is a Software Engineer 2 with expertise in Elasticsearch and Kubernetes, currently working at ConsultAdd Inc in Pune, Maharashtra. He holds a Bachelor of Technology in Computer Science from Medi-Caps University and has experience in deploying microservices architectures and managing large-scale data ingestion.
Current Role at ConsultAdd Inc
Bhavesh Sharma currently serves as Software Engineer 2 at ConsultAdd Inc, a position he has held since 2022. In this role, he focuses on advanced software engineering tasks, leveraging his expertise in technologies such as Elasticsearch and Kubernetes. His responsibilities include deploying and managing large-scale Elasticsearch clusters, ensuring optimal performance and high availability for various applications.
Previous Experience at ConsultAdd Inc
Prior to his current role, Bhavesh Sharma worked at ConsultAdd Inc as an Associate Software Engineer from 2020 to 2021. During this time, he contributed to software development projects and gained valuable experience in the field. His initial tenure at ConsultAdd Inc lasted for one year, during which he developed foundational skills in software engineering.
Experience at Visuotech
Bhavesh Sharma began his professional career at Visuotech, where he worked as a Web Developer from 2018 to 2019. He also completed a brief internship at the same company in 2018. His work involved web development tasks that helped him build a strong foundation in software development practices and technologies.
Educational Background
Bhavesh Sharma earned a Bachelor of Technology (BTech) in Computer Science from Medi-Caps University, studying from 2016 to 2020. His education provided him with a solid grounding in computer science principles and practices. Prior to this, he attended Kendriya Vidyalaya, where he studied science and computer science, achieving his Secondary School Certificate (SSC) from 2014 to 2016.
Technical Skills and Expertise
Bhavesh Sharma has developed a range of technical skills throughout his career. He is proficient in deploying and managing Elasticsearch clusters, utilizing best practices for performance tuning and disaster recovery. He also has experience with container management using Docker and Kubernetes, CI/CD pipeline design using GitLab, and scripting with Python and Bash for automation. His expertise extends to implementing CDN technologies for performance optimization.