Bhargavi G.

About Bhargavi G.

I build reliable backend services and APIs with Python, FastAPI/Django, and SQL, and I’m…

Experience

1. Software Engineer

   Capital One

   Jan 2025 — Present

   Designed and developed enterprise-grade applications in C# and Java using.NET Core, Spring Boot, and SQL Server, supporting financial systems that processed 100K+ transactions daily with high reliability. Built and deployed RESTful APIs in C# and Java integrated with third-party vendor platforms, reducing manual reconciliations by 30% and ensuring secure transactions through OAuth2/JWT authentication. Created and optimized ETL pipelines using SSIS, Talend, and Python, consolidating data from ERP and CRM systems into Redshift warehouses, improving reporting accuracy and reducing latency by 45%. Implemented CI/CD pipelines using Jenkins and Azure DevOps for.NET and Java applications, automating build, test, and deployment stages, cutting release cycle time from 2 weeks to 5 days and minimizing deployment failures across environments. Partnered with QA teams to integrate automated testing frameworks using Selenium, JUnit, and Postman into the CI/CD pipeline, achieving 80% test coverage and reducing post-release defects by 25% through early bug detection and faster regression testing. Collaborated with cross-functional Agile teams to refine business requirements, draft technical specifications, and consistently deliver sprint commitments, resulting in a 20% improvement in feature delivery speed. Conducted SQL query optimization and index tuning across large datasets, enhancing report execution speed by 35% and reducing overall system load, while ensuring efficient use of database resources. Developed responsive front-end modules using Angular, React, and jQuery integrated with C# backends, enhancing cross-browser compatibility and improving user experience while reducing application load time by 22%. Implemented logging and monitoring solutions using ELK Stack and Azure Application Insights, enabling proactive issue detection and reducing mean time to resolution (MTTR) by 15% for production incidents.

Education

• Qis college of Engneering & Technology

  Bachelor of Technology - BTech, Computer Science

  2016 — 2020

• Sai Vikram jr college

  Intermediate , M.P.C

• Arunodaya high school

  SSC

• Gannon University

  Master's degree, Information Technology