Swetha Abbineni
About Swetha Abbineni
Swetha Abbineni is a Data Engineer with experience in data warehousing and business intelligence. She has worked at Cisco, the Wisconsin Department of Children and Families, and currently at Spectrum Brands, Inc.
Work at Spectrum Brands
Swetha Abbineni has been employed at Spectrum Brands, Inc. as a Data Engineer since 2019. In this role, she focuses on data management and engineering tasks, contributing to the company's data-driven decision-making processes. Her work involves designing and implementing data solutions that support various business functions within the organization. Swetha's experience in data engineering plays a crucial role in enhancing the efficiency and effectiveness of data operations at Spectrum Brands.
Previous Experience at Cisco
Before joining Spectrum Brands, Swetha Abbineni worked at Cisco as a Data Warehouse Developer from 2008 to 2009. During her 11-month tenure in the Hyderabad Area, India, she was involved in developing and managing data warehouse solutions. This position allowed her to gain valuable experience in data architecture and analytics, which laid the foundation for her future roles in data engineering.
Experience at Wisconsin Department of Children and Families
Swetha Abbineni served as an SQL and BI Developer at the Wisconsin Department of Children and Families from 2014 to 2019. Over the course of five years in Madison, Wisconsin, she worked on business intelligence projects and SQL development, focusing on data analysis and reporting. Her contributions helped improve data accessibility and insights for the department, supporting its mission to serve families and children in Wisconsin.
Education and Expertise
Swetha Abbineni earned her Bachelor of Technology (BTech) degree in Computer Science Engineering (CSE) from Jawaharlal Nehru Technological University. She studied from 2013 to 2017, acquiring a solid foundation in computer science principles and practices. Her educational background equips her with the necessary skills and knowledge to excel in data engineering and analytics roles.