Develop an e-commerce–oriented web service that analyzes the structure of client databases, highlights issues, and provides clear recommendations for optimization. The goal was to help businesses improve data quality and optimize databases, reducing the cost of maintenance.
• The MVP was implemented in 2.5 months, allowing the customer to quickly reach their first users. • The system analyzed 50+ customer databases, automatically detecting thousands of duplicates and missing values. • Optimization reduced database maintenance costs by an average of 20–30%. • The web interface provided convenient real-time data visualization, reducing database audit time from several hours to minutes. • Thanks to integration with AWS and PostgreSQL, the service achieved 99.9% uptime stability.
The MVP version was delivered in 2.5 months, with further iterations for advanced analytics and scalability.
• Backend implementation on Node.js/Express with secure API endpoints. • Development of an interactive frontend using React for visualization of database statistics. • Integration with PostgreSQL for structured data handling and analytics. • Connection of AWS services for hosting, storage, and scalability. • Implementation of data profiling: duplicates, missing values, imbalance detection, and performance metrics.
⭐️⭐️⭐️⭐️⭐️ I quickly received a high-quality MVP, which allowed me to connect real users to the service faster.