Jagreeta D.

Resumed responsibility for enterprise ERP delivery, architecting and implementing production-grade RESTful Web APIs utilizing ASP.NET Core, C#, and MVC, with integration into Microsoft Azure services including App Services, Service Bus, and Key Vault. Crafted microservices solutions following CQRS and Domain-Driven Design principles using MediatR, enhancing system modularity and maintainability. Oversaw source control with Git, employing feature branch and pull request workflows to maintain code quality. Led Scrum practices for Ginesys ERP, organizing work into 2-week sprints for a cross-functional team, facilitating all Scrum events. Managed the full software development lifecycle for multiple client-facing production systems, starting from requirement gathering to post-live support in the Consumer Products and Telecom sectors. Enhanced SQL Server query performance and schema design, leading to improvements in report generation efficiency. Conducted code reviews and set team-wide coding standards through Azure DevOps Boards. Provided mentorship to junior and mid-level developers in .NET Core best practices and Azure integration.

Contributed to the development and support of enterprise ERP modules focused on Retail Billing & POS, engaging in backend development, API integration, and database design utilizing ASP.NET, C#, and SQL Server. Collaborated within Agile/Scrum teams to convert business requirements into scalable and sustainable .NET solutions.

Developed and maintained critical HR and Payroll modules using ASP.NET MVC and SQL Server, ensuring the accuracy of financial processing workflows. Created data models and backend logic for a network marketing platform, managing complex commission calculation rules. Worked directly with business stakeholders to convert functional requirements into strong, maintainable .NET solutions.

Engineered data-driven desktop applications with ADO.NET and SQL Server to enhance manufacturing operations and production floor reporting. Improved the efficiency of data access layers and stored procedures for high-volume transaction data in manufacturing.