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Rakesh KumarRK
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Rakesh Kumar

@rakeshkumar28

Full Stack Developer at Infosys who optimized an Azure data pipeline from 20 to 800 batches per minute.

India
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At Infosys, I developed and maintained enterprise applications and RESTful APIs using C#, ASP.NET Core, .NET Framework, and SQL Server. I also developed Azure Durable Functions integrated with Azure Data Factory for data-processing and data-movement workflows.

On the TXSOTLoadProcessingPipeline project, I optimized an Azure Durable Functions-based pipeline, increasing throughput from 20 to 800 batches per minute and reducing processing time from 6–7 hours to under 60 minutes. I developed workflows with Entity Framework Core to orchestrate SQL Server operations and external API calls.

For the MCPF (Provider Management Portal), I developed RESTful APIs and backend business logic using C#, ASP.NET Core Web API, and LINQ. I applied layered architecture and Factory and Strategy patterns for state-specific business logic, and integrated the backend APIs with a React frontend and Azure AI Search.

I also developed secure messaging functionality for the Two-Way Secure Messaging (Member Portal) using C#, ASP.NET MVC, WCF, and RESTful APIs. In other project work, I integrated OAuth 2.0 authentication and developed a Medicaid ID batch-processing solution using Azure services, SQL Server, and REST APIs.

Experience

Work history, roles, and key accomplishments

IN

Digital Specialist Engineer

Aug 2021 - Aug 2026 (5 years)

Developed and maintained enterprise applications and RESTful APIs using C#, ASP.NET Core, .NET Framework, and SQL Server. Mentored team members, conducted code reviews, and collaborated with cross-functional teams to troubleshoot production issues.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology Allahabad logoIA

Indian Institute of Information Technology Allahabad

Bachelor of Technology, Electronics and Communication

2017 - 2021

Grade: 7.9/10.0

Pursued a Bachelor of Technology in Electronics and Communication, achieving a CGPA of 7.9/10.0.

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