An enterprise-scale SQL logistics audit diagnosing spatial and temporal fulfillment friction across 32M+ transaction rows to optimize warehouse routing and labor utilization.
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Updated
Aug 4, 2026 - Python
An enterprise-scale SQL logistics audit diagnosing spatial and temporal fulfillment friction across 32M+ transaction rows to optimize warehouse routing and labor utilization.
[PYTHON, FLASK, MYSQL] Connects a flask application to a MySQL database. Uses self join relationships. Shows understanding of validation with users and usernames. Demonstrates CRUD SQL manipulation and execution.
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