Makayla P.

Makayla P.

Data Engineer @ Overstock

About Makayla P.

Makayla P. is a Data Engineer with expertise in serverless computing and integrating machine learning models into data engineering workflows. She has worked at Overstock.com since 2019 and has previous experience at Strala, Sorenson Media, and Brigham Young University - Idaho.

Current Role at Overstock

Makayla P. currently serves as a Data Engineer at Overstock.com, a position she has held since 2019. In this role, she contributes to data engineering projects that support the company's e-commerce platform. Her work focuses on enhancing data workflows and ensuring the effective integration of data systems to optimize operations.

Previous Experience in Data Engineering

Before joining Overstock, Makayla P. gained valuable experience in data engineering roles. She worked at Sorenson Media as a Data Engineer for one month in 2018. Additionally, she served as a Data Scientist at the Research and Business Development Center for seven months in 2018, where she applied her expertise in data analysis and modeling.

Experience in Machine Learning

Makayla P. has a background in machine learning, having worked as a Machine Learning Engineer at Strala for ten months in 2018. This role involved integrating machine learning models into data engineering workflows, showcasing her ability to blend data science with engineering practices.

Education and Expertise

Makayla P. earned her Bachelor of Science (B.S.) degree in Data Science from Brigham Young University - Idaho, completing her studies from 2014 to 2019. During her time at the university, she also served as a Data Science Teacher Assistant for seven months in 2017 and 2018, further solidifying her expertise in the field.

Specialization in Serverless Computing

Makayla P. specializes in serverless computing technologies, which are increasingly important in modern data engineering. Her knowledge in this area allows her to design scalable and efficient data solutions, contributing to the overall effectiveness of the projects she works on.

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