Shilpa Sharma
About Shilpa Sharma
Shilpa Sharma is a Data Architect currently employed at Brillio in Bengaluru, Karnataka, India. She has extensive experience in data engineering and quality assurance, having worked in various roles at companies such as iPass and Pareteum Corporation.
Current Role as Data Architect
Shilpa Sharma currently serves as a Data Architect at Brillio, a position she has held since 2022. In this role, she is responsible for designing and managing data systems, ensuring data integrity, and optimizing data architecture for various projects. Her work is based in Bengaluru, Karnataka, India, where she applies her extensive experience in data management and architecture.
Previous Experience at Brillio
Before her current role, Shilpa worked at Brillio as a Data Specialist from 2020 to 2022. During her tenure, she contributed to various data-related projects, enhancing her skills in data analysis and system optimization. Her experience at Brillio has been pivotal in her career development in the field of data architecture.
Career Background at iPass
Shilpa Sharma has a significant history with iPass, where she held multiple positions from 2009 to 2017. She began as a QA Engineer and progressed to Senior QA Engineer before transitioning to Technical Lead. Her roles involved quality assurance and technical leadership, contributing to the development and maintenance of software solutions.
Experience at Pareteum Corporation
At Pareteum Corporation, Shilpa worked as a Big Data Engineer from 2016 to 2019, later advancing to Senior Big Data Engineer until 2020. In these roles, she focused on big data technologies and solutions, playing a key part in managing large datasets and implementing data processing frameworks.
Educational Background
Shilpa Sharma earned her Bachelor's degree in Electrical, Electronics and Communications Engineering from the University of Rajasthan, completing her studies from 2005 to 2009. This educational foundation has equipped her with the technical knowledge necessary for her career in data architecture and engineering.