Jeff Davey

Software Engineer @ PayIt

About Jeff Davey

Jeff Davey is a Software Engineer at PayIt in Kansas City, MO, where he has worked since 2019. He has a background in Computer/Information Technology Administration and Management and has experience in quality assurance, data analytics, and automation.

Work at PayIt

Jeff Davey has been employed at PayIt as a Software Engineer since 2019. His role involves transitioning from the Quality Assurance team to the Data and Analytics team. In this capacity, he is responsible for daily client reporting, utilizing technologies such as PySpark and Python script Glue Jobs. He has automated the preparation of monthly billing reports for the internal Finance team, which has led to a significant reduction in workload. Davey also employs tools like PyCharm for managing reports and database work, enhancing the efficiency of report generation.

Education and Expertise

Jeff Davey studied at California State Polytechnic University-Pomona, where he earned a Bachelor of Business Administration (BBA) in Computer/Information Technology Administration and Management from 1991 to 1994. Prior to this, he attended Palomar Community College from 1986 to 1991, achieving transfer credit over five years. His educational background provides a foundation for his expertise in software engineering and data analytics.

Background in System and Network Administration

Before joining PayIt, Jeff Davey worked as a System/Network Administrator at North County Times from 1997 to 1998. This role provided him with experience in managing network systems and infrastructure, contributing to his technical skill set. His background in system administration complements his current responsibilities in software engineering and data analytics.

Technical Skills and Tools

Jeff Davey is proficient in various technical tools and programming languages. He uses Postman for API testing and prototyping third-party data sources, which facilitates integration and testing processes. Additionally, he utilizes IntelliJ, Gradle, and TestNG for writing automated browser tests, contributing to quality assurance automation. His experience with AWS QuickSight, Domo, and exposure to Tableau allows him to prepare analytics reports for clients effectively.

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