Information Technology Intern (Database / Enterprise Application Development)
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Built ETL scripts in Python and SQL to automate gathering 4TB+ of required data from vendor systems and our internal database for a business consultant, eliminating the need for a vendor-performed data extraction costing ~$5,000. Diagnosed overnight batch processing failures and modified SQL queries across multi-million-row tables, applying indexing and query optimization to cut average job runtime 52% (5.5 to 2.6 min) and meet nightly business deadlines. Conducted impact assessments across interconnected Oracle CC&B, GIS, and Power BI systems as part of a major platform upgrade (v2.6 to v2.9), mapping data flows and dependencies while porting scripts and billing UIs, then validated production batch execution post-upgrade.
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M.S. - Computer Science - University of California, Davis (2026-03)
B.S. - Computer Engineering, Minor CS - University of California, Santa Cruz (2024-03)