Fauzia Shaikh
About Fauzia Shaikh
Fauzia Shaikh is a Data Engineer with extensive experience in various roles across multiple companies, including Wells Fargo, Visa, and Lyft. She has a strong educational background in engineering and computer systems, having studied at several institutions in India.
Current Role at Qbiz Inc.
Fauzia Shaikh is currently employed as a Data Engineer at Qbiz Inc. since 2018. In this role, she is responsible for managing and optimizing data processes to support the company's data-driven initiatives. Her experience in data engineering allows her to contribute effectively to various projects within the organization.
Previous Experience in Data Engineering
Fauzia has extensive experience in data engineering, having worked at several prominent companies. She served as a Data Engineering Consultant at Lyft for 7 months in 2018 and at Nerdwallet for 3 months in 2019. Additionally, she worked at Visa in various roles, including Data Engineer and ETL Developer, from 2016 to 2018 and 2015 to 2016, respectively.
Work History at Wells Fargo
Fauzia worked at Wells Fargo as a Senior Systems Engineer for 11 months in 2012. She returned to the company in 2018 as a Data Engineering Consultant, where she contributed for an additional 5 months. Her tenure at Wells Fargo provided her with valuable experience in systems engineering and data management.
Educational Background
Fauzia Shaikh holds a Bachelor of Engineering degree, which she obtained from Government College of Engineering between 2005 and 2009. She furthered her education at Indira Gandhi National Open University, studying Computer and Information Systems from 2018 to 2019. This educational foundation supports her expertise in data engineering and related fields.
International Work Experience
Fauzia has gained international work experience, having worked in various countries. She served as a Software Engineer at NAB in Melbourne, Australia, for one year and as a Senior Software Engineer at Accenture in Dublin, Ireland, for another year. These roles contributed to her diverse skill set and understanding of global data engineering practices.