Sasha Zhyk
About Sasha Zhyk
Sasha Zhyk is a Data Engineer with extensive experience in financial data stewardship and systems. He has worked at Bank of America in various roles and currently contributes to data solutions at Oportun.
Work at Oportun
Sasha Zhyk has been employed at Oportun as a Data Engineer since 2022. In this role, he focuses on designing and executing strategies for real-time data analysis and decision-making. He collaborates with various stakeholders, including management and business partners, to enhance data quality efforts. His responsibilities include owning, troubleshooting, and resolving incidents related to data integrations and reporting.
Experience at Bank of America
Sasha Zhyk has extensive experience at Bank of America, where he held multiple roles from 2013 to 2022. He started as an Applied Technology Program Intern and progressed to positions such as Officer in Corporate Workplace Analyst, AVP in General Ledger Operations, and AVP as a Senior Financial Analyst in GWIM Finance Client Balance Reporting. His tenure included responsibilities such as providing data stewardship and subject matter expertise for financial data and systems.
Education and Expertise
Sasha Zhyk holds a Master of Science in Data Science and Business Analytics from the University of North Carolina at Charlotte, which he completed from 2019 to 2022. He also earned a Bachelor of Science in Business Administration with a concentration in Accounting from UNCC between 2012 and 2014. Additionally, he has a Bachelor of Science in Hospitality Administration/Management from Samara State Academy of Culture and Art, obtained from 2003 to 2008, and an Associate of Arts in Business Administration from Central Piedmont Community College, completed from 2010 to 2012.
Technical Skills and Contributions
Sasha Zhyk utilizes strong SQL development skills to build effective and scalable financial data solutions. He executes ad-hoc research that ranges from basic SQL queries to the development of advanced analytical models. His role requires collaboration with analysts, developers, architects, and engineers to support data quality initiatives and ensure the integrity of financial data.