About

Rachel Sartori is an experienced Data Engineer currently working as a Big Data Engineer at The Coca-Cola Company. She has a strong background in data analysis tools and processes, with a focus on SQL and Python. Rachel is skilled in developing and maintaining data collection pipelines, identifying stakeholder needs and pain points, and obtaining user testing feedback. She is a strong information technology professional with a Bachelor's of Science in Information Analysis from the University of Michigan. At The Coca-Cola Company, Rachel is responsible for collecting, cleaning, transforming, storing, and validating volume, revenue, and sales data from Coca-Cola's 250 global bottling partners. She works within the SCRUM framework following Agile guidelines and has won first place in the 2019 Global Hackathon competition. Rachel's past experience includes working as a Data Analytics & Reporting Intern at Comerica Bank, where she utilized SQL, R, Python, and Microsoft PowerBI to analyze and translate data into meaningful actionable information. She also participated in the Innovation Challenge, where she produced a strategy to help Comerica attract younger customers by identifying key resources, stakeholders, and value propositions while working collaboratively across multiple departments. Rachel's other past experience includes working as a User Experience Intern at Turnuh LLC, where she developed a marketing strategy and launched a new app on the UM campus, resulting in an expanded user base and increased application use. She improved usability by testing the app and communicating user experience and user interface problems from interviews. Rachel also developed and maintained relationships with local businesses and school orgs and served as a liaison to local media outlets. Rachel has a Bachelor's of Science in Information Analysis from the University of Michigan and a degree in International Business from the Università degli Studi di Padova. Her tech stack includes Data Engineering, Big Data, SQL, Python, and test. Rachel has 3.87 years of relevant experience in the field of data engineering.