Full-Stack Software Engineer with Cloud Expertise

Swetha Alugubelly

SOFTWARE ENGINEER

CONNECTICUT, USA 908-***-**** ******************@*****.*** LinkedIn SUMMARY

• Software Engineer with 3+ years of experience building scalable healthcare and financial platforms using Spring Boot, delivering resilient microservices, secure integrations, and high-performance processing across clinical and compliance-driven ecosystems.

• Skilled in architecting distributed event-driven systems with Apache Kafka, improving diagnostic data flows, enhancing transaction throughput, and strengthening real-time communication across large-scale operational pipelines.

• Experienced in developing interactive analytical applications using React, supporting real-time visualization, regulatory reporting workflows, anomaly detection insights, and decision-support dashboards for business and clinical teams.

• Proficient in optimizing large data workloads using MongoDB, accelerating complex queries, enhancing retrieval performance, and supporting high-volume analytical and decision-support environments across healthcare and finance domains. SKILLS

Programming Languages: Java, Python, C, C++, SQL, JavaScript, C# Frameworks: Struts, Hibernate, Spring Boot, Spring Batch, Spring Security, Spring AOP, Spring Core, Spring IOC, jQuery, Node.js, React.js, Express.js, Django, Flask Web Technologies: HTML5, CSS3, AJAX, jQuery, Bootstrap, JSON, UI Material, SASS, Typescript, Redux, React Hooks, RESTful API Java/J2EE Technologies: Servlets, Spring, EJB, JPA, JTA, JDBC, JSP, JSTL, Webservices, Microservices, Spring MVC, Hibernate, ORM Database & Cloud: Oracle SQL, MySQL, MongoDB, PostgreSQL, PL/SQL, AWS, Azure IDEs: Visual Studio Code, Eclipse IDE, IntelliJ IDEA, Spring Tool Suite (STS) Web/Application Servers: Oracle WebLogic, IBM WebSphere, Apache Tomcat, JBoss Testing Tools: JUnit, Mockito, Selenium

Build/ Other Tools: Maven, Gradle, ANT, Jenkins, Docker, Kubernetes, Postman, Jira, SonarQube, Kafka, Pandas, NumPy, SciPy WORK EXPERIENCE

Software Engineer CVS Health, CT, USA Sep 2024 - Present

• Modernized claims-processing platforms by engineering modular Spring Boot services, workflows and reducing deployment cycles by 45%, while improving reliability for 150K+ clinical transactions handled daily across core adjudication systems.

• Engineered asynchronous clinical-event pipelines using Apache Kafka to enable real-time streaming, reducing interservice latency by 40% and increasing throughput for 120K+ diagnostic events across care-coordination modules.

• Optimized high-volume healthcare analytics operations by refining PostgreSQL queries and stored procedures, improving reporting speed by 50% and strengthening data consistency for 180K+ concurrent eligibility and claims users.

• Secured patient-facing healthcare APIs using Spring Security, OAuth2, and JWT, ensuring HIPAA-aligned access governance and reducing unauthorized access attempts by 32% across telehealth, pharmacy, and care-management channels.

• Integrated ML-based anomaly-detection capabilities into Java microservices, enabling proactive identification of clinical risks and boosting decision-support accuracy for 95K+ diagnostic events processed each day.

• Embedded AI-driven clinical-recommendation engines using LLM-powered APIs within Java microservices, increasing diagnostic query resolution by 41% and improving provider decision support across pharmacy and care-coordination workflows.

• Developed auxiliary clinical-validation components in C# to enhance interoperability with legacy .NET services, reducing claim- processing discrepancies by 28% across eligibility, authorization, and benefits-verification modules. Software Engineer Cognizant, India May 2021- Nov 2023

• Architected a financial-risk compliance platform using Python, FastAPI, and AWS Lambda, enabling serverless ingestion of 2.7M+ transactions and strengthening fraud-detection reliability across multi-portfolio environments.

• Designed real-time regulatory intelligence dashboards with React and Plotly, visualizing transaction flows, anomaly spikes, and exposure trends to support faster audit reviews and risk-control assessments.

• Developed performant data-processing pipelines using NumPy, standardizing 1.1M+ heterogeneous financial records to elevate reporting precision and improve early-stage fraud-signal identification.

• Containerized distributed analytics services with Docker and orchestrated workloads on Kubernetes using AWS EKS, ensuring fault-tolerant scaling for 13 production-grade financial workloads.

• Automated cloud-infrastructure provisioning through Terraform and AWS CloudFormation, reducing environment setup time by 72 hours and enforcing consistent, audit-compliant configuration.

• Strengthened release governance using Pytest, GitHub Actions, and structured unit-testing workflows, mitigating regression issues across 19 high-velocity Agile sprints.

• Enhanced financial data retrieval by optimizing MongoDB schemas and aggregation flows, improving query performance by 48% and enabling secure access to 3.2M+ transaction and risk-scoring datasets. EDUCATION

Master of Science in Computer Science- University of Bridgeport, CT, USA Bachelor of Technology in Electronics & Communication - GNITC, Hyderabad, India

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