Senior Full Stack .NET Developer with Microservices Expertise

SHARANYA JAVVAJI

********.*********@*****.*** +1-940-***-**** LinkedIn: Sharanya Javvaji

Summary

Full Stack .NET Developer with 5+ years of experience building scalable enterprise applications for financial services clients. Expertise in C#, ASP.NET Core Web API, Angular, React, SQL Server, and cloud platforms (AWS & Azure). Proven track record of delivering measurable performance improvements — including 60% scalability gains, 50% faster database operations, and 40% reduction in processing time. Adept at microservices architecture, CI/CD pipelines, and Agile delivery.

Technical Skills

Languages & Frameworks: C#, .NET Core (.NET 6/8), ASP.NET Core MVC, Web API, Entity Framework Core, ADO.NET, LINQ

Front-End: Angular (16), React 18, TypeScript, JavaScript, RxJS, NgRx, Redux Toolkit, HTML5, CSS3, jQuery

Database: SQL Server, MySQL, Amazon RDS, Azure SQL — stored procedures, query optimization, schema design

Cloud & DevOps: : AWS (Lambda, ECS, EC2, S3, Cognito, CloudWatch, CodePipeline, SQS/SNS, Secrets Manager), Azure (App Service, Functions, Blob Storage, Cognitive Search, Form Recognizer, Key Vault, AD), Docker, Kubernetes, CI/CD

Architecture & Testing: Microservices, RESTful APIs, JWT Auth, xUnit, NUnit, Moq, Postman, Swagger, SOLID Principles

Tools: Visual Studio, Git, GitHub, Azure DevOps, Jenkins, SSMS, Power BI, Power Automate

Work Experience

Sr Full Stack Developer Morgan Stanley Oct 2024 - current

Investment Portfolio Management & Risk Analytics Platform

Roles and Responsibilities:

Led design and development of microservices using ASP.NET Core Web API (.NET 8) for portfolio tracking, market data ingestion (Bloomberg/Reuters APIs), and risk analytics modules.

Increased system scalability by 60% through microservice decomposition and load-balanced deployment on AWS EKS, enabling platform to handle high-volume financial data for wealth management advisors.

Accelerated database read/write operations by 50% via query tuning, indexing strategies, and stored procedure refactoring on Amazon RDS (SQL Server).

Wrote stored procedures, triggers, and views to optimize heavy data retrieval operations.

Integrated third-party financial data providers (Bloomberg/Reuters APIs) for real-time market feeds and pricing updates.

Implemented AWS Cognito for role-based authentication, secured credentials using AWS Secrets Manager, monitored system health via Amazon CloudWatch and X-Ray.

Built CI/CD pipelines using AWS CodePipeline/Code Build for automated builds, testing, and staged deployments, managed source code via GitHub with enforced branching and PR standards.

Built Angular 16 front-end with NgRx/RxJS state management, lazy loading, route guards, and JWT-based authentication, achieving high Lighthouse performance scores via AOT compilation.

Implemented Blazor (Server/WebAssembly) to build reusable, component-based financial dashboards, reducing front-end development effort by 25% and improving maintainability through shared .NET code between client and server.

Developed reusable services, business logic layers, and background job processing using AWS Lambda functions.

Configured and managed Amazon EC2 instances for hosting backend services, batch processing jobs, and staging environments with auto-scaling and security group policies.

Managed NuGet package feeds and internal reusable components with AWS CodeArtifact.

Managed source code repositories using GitHub, enforcing best practices for branching, pull requests, and commit hygiene.

Technologies: .NET 8, C# 12, Entity Framework Core 8, SQL Server 2019 / Amazon RDS, Angular 16, NgRx 16, AWS Lambda (with .NET 8 runtime), Amazon ECS, AWS Amplify, AWS Secrets Manager, Amazon CloudWatch, AWS CodePipeline/CodeBuild, GitHub, Power BI

Full Stack Engineer Fifth Third Bank Mar 2024 - Sept 2024

Digital Loan Origination & Customer Onboarding Platform

Role and Responsibilities:

Developed microservices for loan applications, customer KYC, eligibility checks, and document workflows using ASP.NET Core Web API (.NET 6) with Entity Framework Core code-first migrations.

Reduced loan application processing time by 40% through workflow automation using AWS Lambda, SQS/SNS event-driven processing, and asynchronous ASP.NET Core Web API design.

Built asynchronous APIs using async/await to improve performance and handle concurrent user interactions.

Designed JWT-based security with Amazon Cognito for role-based based authorization, secured credentials via AWS Secrets Manager with automated rotation.

Designed and consumed internal/external APIs using HttpClientFactory with typed clients and circuit breakers.

Configured Amazon RDS (SQL Server) with multi-AZ replication, read replicas, and query optimization (indexing, execution plans) to reduce latency at scale.

Implemented API versioning to support backward compatibility as new features were added.

Created stored procedures, functions, and views to optimize data-intensive operations.

Implemented AWS Lambda functions for serverless background processing, including document verification, notifications, and event-driven workflows with SQS/SNS triggers.

Enabled secure document storage and retrieval by leveraging Amazon S3 with AWS KMS encryption and lifecycle policies for archival.

Built responsive React 18 front-end with Redux Toolkit, React Query, Formik + Yup validation, and Material UI for multi-step onboarding and loan application flows.

Integrated dynamic UI routing using React Router v6 with role-based route guards.

Used React Query for API caching, background refetching, and synchronizing UI state.

Created executive and operational analytics using Amazon QuickSight, providing insights on loan volume, onboarding status, and approval turnaround times.

Built automated unit and integration tests using xUnit, Moq, and TestServer.

Deployed via Amazon ECS (Fargate) with YAML-based Infrastructure as Code; enforced code quality through SonarQube integration and Git branching strategies.

Collaborated closely with business stakeholders, UX designers, and QA teams in an Agile/Scrum environment to deliver high-impact features.

Technologies: .NET 6 (ASP.NET Core Web API), C# 10, React 18, Entity Framework Core 6, LINQ, AWS Lambda, Amazon Cognito, Amazon S3, AWS KMS, Amazon ECS (Fargate), AWS Secrets Manager, Amazon RDS (SQL Server 2019), Amazon CloudWatch, AWS CodeBuild (CI/CD), YAML-based Infrastructure Automation, Amazon QuickSight Dashboards

.NET Developer Landmark Group Nov 2021 - Jan 2023

Landmark Claims Automation System

Roles and Responsibilities:

Designed and developed ASP.NET Core MVC web application for document upload, validation, and metadata extraction, built RESTful APIs to expose results for downstream reporting.

Reduced manual errors by ~45% and cut document validation/extraction time by ~60% by integrating Azure Form Recognizer for automated metadata extraction from submitted claims documents.

Leveraged Entity Framework Core for efficient ORM-based interaction with SQL Server, supporting migrations and schema versioning.

Integrated Azure Cognitive Services (Form Recognizer, Computer Vision) for intelligent document classification and structured data extraction, eliminating manual review workflows.

Implemented Azure Blob Storage for scalable file uploads, Azure Table Storage with optimized PartitionKey and RowKey strategies for high-speed metadata lookups across millions of records.

Stored sensitive connection strings, API keys, and certificates securely in Azure Key Vault, enforcing least-privilege access.

Implemented API testing using Postman to test the data pipelines.

Secured application using Azure AD authentication with role-based access control, managed secrets via Azure Key Vault, monitored pipelines with Azure Application Insights.

Developed and consumed SOAP-based services using WCF with custom bindings, data contracts, and secure channel configurations for inter-application communication.

Integrated Azure Tables with ASP.NET Core backend services for storing document validation results and metadata references.

Deployed the application to Azure App Service, ensuring high availability, scalability, and secure access across the Landmark team.

Built AJAX-based, drag-and-drop document upload workflows with jQuery, real-time progress bars, and client-side validation to improve user experience and reduce invalid submissions.

Participated in peer code reviews to ensure adherence to coding standards, optimize performance, and maintain codebase consistency across the development team.

Collaborated with cross-functional team members through daily stand-ups to discuss implementation strategies, resolve blockers, and align on project goals.

Technologies: ASP.NET Core MVC 5, ASP.NET Core Web API, C#, Javascript, Jquery, Azure Forms Recognizer, Azure Blob Storage, Azure SQL, Power Automate, Computer Vision

Software Engineer Unilever Sept 2019 - Oct 2021

Roles and Responsibilities:

Developed and maintained a .NET MVC web application using C# and jQuery, integrating with multiple Azure services to support file search and retrieval functionalities through the QMS Search Portal.

Developed .NET MVC web application and ASP.NET Core Web API services, integrating Azure Functions and WebJobs (CRON-triggered) to automate file migration from legacy Viva Portal i.e internal client portal to Azure Blob Storage.

Created and configured Azure Cognitive Search services connected to Blob Storage, enabling full-text indexing and efficient document retrieval based on user queries through the MVC application.

Reduced document retrieval time by ~40% by implementing Azure Cognitive Search with optimized indexing, integrated with Angular search/filter components for a high-traffic document management portal.

Built Angular Reactive Forms with custom validations and Angular services consuming .NET Web APIs for dynamic search, filter, and document upload workflows.

Integrated OAuth 2.0 and Identity Server for secure authentication and RBAC, implemented Azure Table Storage for metadata and Blob Storage for unstructured document management.

Implemented API testing using Postman to test the data pipelines.

Implemented AJAX calls in MVC and .NET Core apps to fetch data asynchronously, improving performance and user experience.

Utilized LINQ for efficient querying, data manipulation, and integration with Entity Framework, ensuring optimized backend performance.

Led client-facing requirement gathering sessions; prepared Work Breakdown Structures (WBS), Weekly Status Reports (WSR), and project kickoff documentation for the QMS project.

Technologies: ASP.NET Core MVC 3, ASP.NET Core Web API, C#, Entity Framework,Angular, Javascript, Jquery, Azure Cognitive Search, Azure Blob Storage, Azure SQL, Azure Tables, Azure Functions, Azure Web Jobs, Azure Active Directory

Education

University Of North Texas

M.S in Computer Science

Aurora’s Technological and Research Institute

B. Tech in Electronics and Communication Engineering

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