Lakshmi Pai
About Lakshmi Pai
Lakshmi Pai is a Lead Data Engineer with extensive experience in data engineering and analytics. Currently working at Brillio, she has a strong background in Azure technologies and database management.
Current Role as Lead Data Engineer
Lakshmi Pai currently serves as a Lead Data Engineer at Brillio, a position held since 2021. In this role, she oversees data engineering projects and leads a team in developing data solutions. Her responsibilities include designing and implementing data pipelines and ensuring the efficient processing of large datasets. She applies her expertise in Azure Data Factory and Power BI to deliver data-driven insights for business needs.
Previous Experience at Brillio
Prior to her current role, Lakshmi worked at Brillio as a Senior Data Engineer from 2019 to 2021. During this time, she developed a proof of concept utilizing Azure Data Factory, Blob Storage, Snowflake DB, and Power BI. Her work focused on creating scalable data solutions that enhanced data accessibility and reporting capabilities.
Career Background at EXL and Wipro Limited
Lakshmi's career includes significant experience at EXL, where she worked as a Senior Business Analyst for eight months in 2018. Before that, she spent three years at Wipro Limited, starting as a Project Engineer from 2013 to 2016 and later transitioning to a Senior Software Engineer from 2016 to 2018. Her roles involved software development and project management, contributing to her comprehensive understanding of data systems.
Educational Qualifications
Lakshmi Pai earned her Bachelor of Engineering (B.E.) in Computer Science from Visvesvaraya Technological University, completing her studies from 2008 to 2012. She also completed her Class 12 education at Bharatiya Vidhya Bhavan, Kannur, where she studied Physics, Chemistry, Mathematics, and Computer Science from 2006 to 2008.
Technical Skills and Expertise
Lakshmi possesses extensive technical skills in database performance tuning, query optimization, and index rebuilding. She has implemented error handling in SSIS packages and designed Azure Data Factory pipelines for large data processing. Her knowledge includes advanced SQL concepts, such as Slowly Changing Dimensions (SCD1, SCD2), and she maintains log and audit information in SQL tables. Additionally, she has strong expertise in Power BI for data importation from various sources.