HIGH COST MEDICINE SEARCH SYSTEM - REACT & SUPABASE
Melksedeque Silva
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Designed and implemented a data-rich web interface for a large-scale medicine search platform. Focus on frontend performance, usability and real-time data interaction.
Designed and implemented a lightweight ETL pipeline for data ingestion and validation, ensuring accuracy and completeness across thousands of records, validate, and store high-volume datasets (price, stock, EAN codes) using Supabase and SQL.
Led the migration from Laravel Blade to a React-based frontend, improving performance and user experience.
Enabled real-time search and price comparison, supporting data-driven purchasing decisions for patients and pharmacies.