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Sahana Rangadhamaiah Yadav is a Full Stack Developer with over 3 years of experience building scalable, cloud-based applications across healthcare and enterprise domains. She specializes in Java (Spring Boot), React.js, RESTful APIs, and AWS, with a strong focus on performance, reliability, and clean architecture. Sahana has worked on high-impact systems supporting tens of thousands of users, developing microservices, real-time APIs, and responsive front-end platforms. She is passionate about solving complex engineering problems, optimizing system performance, and contributing to collaborative, Agile teams.…Sahana Rangadhamaiah Yadav is a Full Stack Developer with over 3 years of experience building scalable, cloud-based applications across healthcare and enterprise domains. She specializes in Java (Spring Boot), React.js, RESTful APIs, and AWS, with a strong focus on performance, reliability, and clean architecture. Sahana has worked on high-impact systems supporting tens of thousands of users, developing microservices, real-time APIs, and responsive front-end platforms. She is passionate about solving complex engineering problems, optimizing system performance, and contributing to collaborative, Agile teams.

SAHANA YADA V

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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Sahana Rangadhamaiah Yadav is a Full Stack Developer with over 3 years of experience building scalable, cloud-based applications across healthcare and enterprise domains. She specializes in Java (Spring Boot), React.js, RESTful APIs, and AWS, with a strong focus on performance, reliability, and clean architecture. Sahana has worked on high-impact systems supporting tens of thousands of users, developing microservices, real-time APIs, and responsive front-end platforms. She is passionate about solving complex engineering problems, optimizing system performance, and contributing to collaborative, Agile teams.…Sahana Rangadhamaiah Yadav is a Full Stack Developer with over 3 years of experience building scalable, cloud-based applications across healthcare and enterprise domains. She specializes in Java (Spring Boot), React.js, RESTful APIs, and AWS, with a strong focus on performance, reliability, and clean architecture. Sahana has worked on high-impact systems supporting tens of thousands of users, developing microservices, real-time APIs, and responsive front-end platforms. She is passionate about solving complex engineering problems, optimizing system performance, and contributing to collaborative, Agile teams.

Available to hire

Sahana Rangadhamaiah Yadav is a Full Stack Developer with over 3 years of experience building scalable, cloud-based applications across healthcare and enterprise domains. She specializes in Java (Spring Boot), React.js, RESTful APIs, and AWS, with a strong focus on performance, reliability, and clean architecture.

Sahana has worked on high-impact systems supporting tens of thousands of users, developing microservices, real-time APIs, and responsive front-end platforms. She is passionate about solving complex engineering problems, optimizing system performance, and contributing to collaborative, Agile teams.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Full Stack Developer at McKesson

February 1, 2025 - Present

Designed patient self-service portals with React.js, Redux, and JavaScript, enabling 55,000+ members to schedule visits, view claims, and manage prescriptions; eliminated 2,500+ monthly call-center cases and added 21,194+ new active digital users within six months. Built healthcare microservices in Spring Boot backed by Oracle databases, validating 1M+ monthly eligibility checks and ensuring HIPAA-aligned workflows across payer and provider systems. Automated ETL pipelines in Python and integrated LLM-powered normalization models to process FHIR/HL7 records, transforming 10,239+ entries weekly with an additional 18,284+ records mapped correctly per week, accelerating data exchange across 5 provider networks. Developed real-time prescription reconciliation APIs with SQL Server and embedded ML anomaly detection, processing 15,146+ monthly updates while eliminating 40,120+ duplicate prescription errors annually and sustaining uptime of 364+ operational days per year across 12 national dis

Software Engineer at Dell Technologies

August 1, 2021 - December 1, 2022

Orchestrated backend pipelines with AWS Lambda and S3, ingesting 51,943+ daily product records from ERP systems and ensuring error-free sync across 3 global platforms. Built order management microservices in Spring Boot, integrating 20+ REST endpoints with ERP workflows and reducing request turnaround from 9s to under 3s for operations teams. Improved PostgreSQL schema design and query execution, supporting 1,240 concurrent reports with latency under 2s for finance and supply chain stakeholders. Enhanced React.js order dashboards with custom JavaScript components, enabling product managers to track 7,000+ daily transactions in real time and cutting manual spreadsheet reconciliations for 5 regional teams. Implemented ML-based demand forecasting models on sales data sets, improving planning workflows by delivering 45,449+ weekly predictions consumed by supply chain systems and reducing ad-hoc analyst requests by 300+ hours annually. Developed reusable components in React.js, collaboratin

Software Developer at Trigent Software

August 1, 2020 - August 1, 2021

Developed a Spring Boot analytics engine to process patient health streams, producing real-time reports for 5,000+ clinicians across 3 regions and reducing manual prep by 15 staff hours weekly. Configured AWS EC2 and RDS services to synchronize global e-commerce transactions, ensuring region-wide consistency and recovering 28+ support hours each month with operations teams. Optimized PostgreSQL index and query execution path, cutting dashboard latency from 12s to 4.8s during peak loads for 1,000+ concurrent users monitoring order pipelines. Implemented Kafka pub-sub messaging for an edtech platform, scaling content delivery to 50,874+ daily events across 3 countries and minimizing queue failures to under 30 per month. Established automated regression pipelines with Jenkins, JUnit, and Mockito, validating 10 ERP modules and accelerating release cycles by 2 deployments per sprint with QA teams.