Rajeet Hegde
About Rajeet Hegde
Rajeet Hegde is a Data Specialist with over five years of experience in information technology and consulting. He has worked at notable companies such as ZS and Infosys, and currently focuses on data engineering and cloud technologies at Brillio.
Current Role at Brillio
Rajeet Hegde currently serves as a Data Specialist at Brillio, a position he has held since 2021. In this role, he focuses on data engineering, leveraging his expertise in cloud technologies. His responsibilities include implementing backend big data projects, particularly using the Spark framework. His work at Brillio reflects his commitment to advancing data solutions within the organization.
Previous Experience at ZS
Before joining Brillio, Rajeet Hegde worked at ZS for a total of three years. He began as a Business Technology Analyst from 2018 to 2020 in the Pune Area, India. He then advanced to the role of Senior Business Technology Analyst, where he worked from 2020 to 2021. His tenure at ZS involved significant contributions to business technology solutions and analytics.
Experience at Infosys
Rajeet Hegde also has experience as a System Engineer at Infosys, where he worked from 2016 to 2018 in the Bengaluru Area, India. His role involved engaging with various technology projects, contributing to his overall expertise in the information technology sector.
Educational Background
Rajeet Hegde holds a Bachelor of Engineering (BEng) in Electronics and Telecommunication, which he obtained from Mumbai University, studying from 2012 to 2016. His foundational education includes attending ST. LAWRENCE HIGH SCHOOL from 1998 to 2010 and SIES COLLEGE OF ARTS, SCIENCE & COMMERCE from 2010 to 2012, where he completed his preparatory education.
Technical Skills and Expertise
Rajeet Hegde specializes in data engineering with a strong focus on cloud technologies. He is experienced in various AWS services, including Lambda, Glue, EMR, Dynamo, Aurora, Redshift, CloudFormation, and CodePipeline. His technical skills enable him to implement effective data solutions and contribute to large-scale projects.