Andrew Kenworthy is a pragmatic Data Developer with 13 years in IT, combining hands-on systems administration and support with recent full-stack training in Python/Django. He currently develops and modernises ERP data flows, integrating UniData legacy sources with T-SQL, Azure SQL, APIs and Qlik, and has built reusable export frameworks that automated reporting and SharePoint delivery. Previously he contributed to a Mainframe-to-Azure data migration using schema-driven pipelines and helped streamline schema change processes to avoid unnecessary approvals. Comfortable across scripting languages (Python, PowerShell, VBA), databases (MSSQL, MySQL, UniData) and automation, he brings practical infrastructure knowledge from Windows Server, AD and networking through to cloud data tooling. Based in Bradford, he’s seeking Junior Python developer roles in tech or science teams with collaborative cultures, and he often channels his support background into creating tools that save repetitive operational effort. An attention to legacy systems and pragmatic automation is a recurring, non-obvious strength that accelerates projects without risky rewrites.
13 years of coding experience
5 years of employment as a software developer
AVCE, Information Technology, AVCE, Information Technology at Bradford College
Level 5 Diploma, Fullstack Software Development (Django), Level 5 Diploma, Fullstack Software Development (Django) at Code Institute
Computer Software Engineering, Computer Software Engineering at DataCamp
Milestone 3 for Code Institute course: Data Centric Development: Internet Film Database
Contributions:17 PRs, 39 pushes, 2 branches in 10 months
filmdata-centricdatabasecode-instituteinstitute
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