IT Data Integration Intern
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Re-engineered the row-merge algorithm in a production XML generation framework, replacing row-by-row comparison with a hash-indexed lookup and cutting runtime 95% (~20x) on workloads that previously ran without finishing. Resolved an out-of-memory failure in a multi-file output writemode by refactoring XML post-processing into a streaming file-assembly method, allowing million-row jobs to complete end to end; deployed to master branch. Replaced hardcoded output logic in a shared, metadata-driven ETL framework with config-driven handling and automated job-status notifications, then reused the same XML implementation in a separate message-queue framework; delivered through Azure DevOps with Git.
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Master of Science - Applied Statistics and Data Science - University of Texas at Arlington (2025-08)
Bachelor of Science - Information Systems - University of Texas at Arlington (2021-08 - 2024-05)