John Cotter
About John Cotter
John Cotter is an experienced SQL Developer currently employed at Velocity Risk Underwriters, LLC. He has a background in economics and has held various positions in data analysis and programming, including a long tenure at Verizon Wireless.
Work at Velocity Risk Underwriters
John Cotter has been employed at Velocity Risk Underwriters, LLC since 2019. In his role as an SQL Developer, he focuses on data management and analysis. His responsibilities include optimizing SQL queries and enhancing data processing efficiency. Cotter's expertise in ETL mining supports the company's data-driven decision-making processes.
Previous Experience at Verizon Wireless
Prior to his current position, John Cotter worked at Verizon Wireless for a total of 13 years. He held the role of Systems Consultant from 2006 to 2013 in Franklin, TN, and later served as Systems Specialist-Analysis and Programming from 2013 to 2019 in the Greater Nashville Area, TN. His work involved data analysis and programming, contributing to various projects within the organization.
Education and Expertise
John Cotter earned a Bachelor’s Degree in Economics from Montclair State University. His educational background provides a foundation for his analytical skills. He specializes in query optimization and data warehouse mining, which are critical for effective data management and analysis in his current role.
Project Management Experience
John Cotter has experience in project management related to data analysis and SQL development. His role requires overseeing projects that involve data processing and analysis, ensuring that objectives are met efficiently. This experience enhances his capability to manage data-driven projects effectively.
Technical Skills in SQL Development
John Cotter possesses advanced skills in SQL development, particularly in query optimization and ETL mining. His technical expertise enhances data processing efficiency, which is essential for the operations at Velocity Risk Underwriters. His ability to streamline data workflows contributes to improved data management practices.