Mounika Palthi

Mounika Palthi

Lead Data Engineer @ Epiq

About Mounika Palthi

Mounika Palthi is a Lead Data Engineer based in Hyderabad, Telangana, India, with extensive experience in data engineering roles at Epiq, Deloitte India, and Accenture. She holds a Bachelor of Technology in Computer Science from SWEC, which she completed in 2013.

Current Role as Lead Data Engineer

Mounika Palthi currently serves as a Lead Data Engineer at Epiq, a position she has held since 2022. In this role, she is responsible for overseeing data engineering projects and leading a team of data professionals. Her work focuses on developing data solutions that enhance operational efficiency and support business objectives. Mounika's expertise in data engineering plays a crucial role in driving data-driven decision-making within the organization.

Previous Experience at Epiq

Prior to her current role, Mounika worked at Epiq as a Senior Data Engineer from 2021 to 2022. During her tenure, she contributed to various data engineering initiatives, leveraging her skills to improve data processing and analytics capabilities. Her experience at Epiq laid the foundation for her advancement to the lead position.

Experience at Deloitte India

Mounika Palthi worked as a Senior Data Engineer at Deloitte India from 2019 to 2021. In this capacity, she was involved in data management and analytics projects, utilizing her technical skills to support client needs. Her role at Deloitte enhanced her proficiency in data engineering and prepared her for subsequent positions.

Career at Accenture

Before her time at Deloitte, Mounika was employed at Accenture as a Senior Software Analyst from 2014 to 2019. In this role, she focused on software development and analysis, contributing to various projects that required strong analytical and technical skills. Her experience at Accenture provided her with a solid foundation in software engineering.

Educational Background in Computer Science

Mounika Palthi earned her Bachelor of Technology (B.Tech.) degree in Computer Science from SWEC, where she studied from 2009 to 2013. This educational background equipped her with essential knowledge and skills in computer science, which she has applied throughout her career in data engineering and software development.

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