Fadekemi Oyelola

Fadekemi Oyelola

Site Reliability Engineer Intern @ Thomson Reuters

About Fadekemi Oyelola

Fadekemi Oyelola is a Site Reliability Engineer Intern at Thomson Reuters in Toronto, Ontario, Canada, where she has worked since 2018. She has a diverse educational background with degrees in Chemistry and Accounting, and has transitioned from roles in finance and tax preparation to technical positions in engineering.

Work at Thomson Reuters

Fadekemi Oyelola has been working at Thomson Reuters since 2018 as a Site Reliability Engineer Intern. This role is based in Toronto, Ontario, Canada. Prior to this position, she served as a Bigdata Engineer Intern at the same company for six months in 2017. Her experience at Thomson Reuters encompasses a range of responsibilities related to site reliability and data engineering.

Education and Expertise

Fadekemi Oyelola has a diverse educational background. She studied Data Science and Software Engineering at the University of St. Thomas from 2015 to 2018. Additionally, she earned a Bachelor's degree in Accounting from St. Cloud State University, where she studied from 2007 to 2009. Earlier, she obtained a Bachelor's degree in Chemistry from the University at Buffalo, completing her studies from 2003 to 2006. This combination of degrees reflects her transition into technical roles.

Background

Fadekemi Oyelola has international work experience, having worked in both the United States and Canada. Her career began in the financial sector, where she worked as an Operations Processor at Wells Fargo in San Francisco, California, for three months in 2012. She also served as a Client Service Specialist at Ctb Financial Services, Ltd. for seven months in Minneapolis, Minnesota. Her early career included a role as a Tax Preparer at Prepare + Prosper in Minnesota in 2015.

Career Transition

Fadekemi Oyelola transitioned from a background in accounting and chemistry to a technical role in site reliability engineering. She participated in a software engineering graduate program while aspiring to move into data science. This shift highlights her adaptability and commitment to expanding her skill set in the technology field.

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