kh med nour

+ Scaled GDPR-compliant email validation platform from 500K to 1M+ daily API requests with 99.9% uptime on AWS Elastic Beanstalk. +Re-architected real-time email verification pipeline using C# .NET Core and PostgreSQL with concurrent processing architecture, improving validation throughput by 70%. + Built Python data engineering pipeline with GDPR-compliant data processing managing 220M+ email records in AWS S3 with alphabetical caching strategy. +Extended RESTful APIs with OAuth2 authentication.

Created a quality analysis application for a company specialized in AI and data software focused on the Saudi market. • Engineered drag-and-drop report wizards (.NET/Angular) with dynamic charting, accelerating production risk KPI identification by 40% for AI software clients . • Architected centralized report management system eliminating 100% document duplication and streamlining cross-team reporting processes . • Implemented load-on-demand for 10M+ record datasets . Keywords: .Net,Angular,SSIS,SSAS,MDX

Created modules for STEROS LAB, an ERP system for healthcare laboratories and clinics, in a team of 3 developers. • Engineered inventory management and patient record systems using .NET MVC 4.7/Kendo UI, resolving 4+ critical legacy defects daily to reduce system-wide errors by 40% while maintaining HIPAA-compliant coding standards • Modernized team workflows by implementing SVN version control for 3 developers, reducing integration conflicts by 50% and accelerating feature deployment cycles .

• Developed MDX Query Builder tool with .NET, replacing the company’s existing KPI visualization system, and enables account managers to track trends and patterns in millions of customer data. • Designed a pivot table using HTML, Kendo UI, jQuery for flexible KPI analysis, ensuring optimal query efficiency with SQL Server Profiler. • Created a report module with LINQ, cutting report duplication by 100%.

• Developed a WPF application with .NET, C# and SQL, enabling 50% independent OLAP Cube management, reducing data engineer SSAS intervention time and enhancing data warehouse efficiency. • Integrated data sources into the warehouse with SSIS, achieving 100% integration with developed BI tool and boosting the efficiency of data structuring for analytics within the company. • Visualized analysis environment data with POWER BI for actionable insights and informed decision.