
Arthur Fudali developed the Backend Dashboard Statistics feature for the Imobiliaria_Bortone repository, focusing on surfacing actionable property and user activity data. He implemented new Express.js routes, controllers, and services in Node.js to deliver endpoints that report sales statistics for the past 30 days and aggregate monthly rental data by property type. Arthur refactored error handling and optimized SQL query execution, improving both maintainability and performance. This backend enhancement enables leadership to monitor trends and make data-driven decisions. The work demonstrates a solid grasp of backend development and database management, with depth in designing maintainable, efficient data aggregation features.

September 2025 — Delivered the Backend Dashboard Statistics feature for the Imobiliaria_Bortone project, introducing endpoints to surface sales statistics for the last 30 days and monthly rental data aggregated by property type. The work included adding routes, controllers, and services, along with refactoring of error handling and query execution to boost maintainability and performance. This feature provides leadership with at-a-glance visibility into property and user activity trends, enabling data-driven decisions.
September 2025 — Delivered the Backend Dashboard Statistics feature for the Imobiliaria_Bortone project, introducing endpoints to surface sales statistics for the last 30 days and monthly rental data aggregated by property type. The work included adding routes, controllers, and services, along with refactoring of error handling and query execution to boost maintainability and performance. This feature provides leadership with at-a-glance visibility into property and user activity trends, enabling data-driven decisions.
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