Shivani Anugu
About Shivani Anugu
Shivani Anugu is a Global IT - BI Data Engineer at Hitachi Vantara in Hyderabad, India, with expertise in performance tuning and data process optimization. She has a background in computer science and engineering and has worked in various consulting roles, including at Apps Associates and Oracle.
Work at Hitachi Vantara
Shivani Anugu has been employed at Hitachi Vantara as a Global IT - BI Data Engineer since 2022. In this role, she is responsible for various data engineering tasks, focusing on business intelligence. Her work involves performance tuning and query modification to address failures in data processes. Based in Hyderabad, Telangana, India, she contributes to the company's data management and analytics initiatives.
Previous Experience at Apps Associates
Prior to her current position, Shivani Anugu worked at Apps Associates in multiple roles. She served as a Staff Consultant for four months in 2020, following her tenure as an Associate Consultant from 2018 to 2020. Additionally, she began her career at Apps Associates as an Associate Trainee from 2017 to 2018. During her time there, she gained experience in data modeling and design, enhancing her skills in handling both transaction and analytic data.
Experience at Oracle
Shivani Anugu worked as an IT Consultant at Oracle from 2020 to 2022. In this role, she developed her expertise in designing and developing OBIEE dashboards, focusing on interactive features and various visualizations. Her experience at Oracle further solidified her skills in creating analytic reports that meet specific business needs.
Education and Expertise
Shivani Anugu holds a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from St. Martin's Engineering College, where she studied from 2013 to 2017. Her educational background has equipped her with a solid foundation in data engineering principles. She possesses strong skills in performance tuning, query modification, and customizing OBIEE reports and dashboards using HTML, contributing to enhanced data comprehension.