Venkata Menta

Software Engineer with 3+ years of experience developing high-reliability full-stack applications within regulated health technology and financial sectors. Expert in architecting scalable backend services using Python, Spring Boot, and FastAPI, while building responsive frontends with React and TypeScript. Specialized in designing data-intensive systems utilizing Apache Kafka for real-time streams, PostgreSQL for complex data modeling, and AWS for cloud-native orchestration.

Proven ability to integrate IoT sensor data and telematics into unified observability platforms, ensuring high availability through Docker, Kubernetes, and automated CI/CD pipelines. Focused on delivering auditable, low-latency API designs that resolve critical operational bottlenecks and improve system performance in mission-critical environments.

Software Engineer at Athenahealth (2024-01 – Present)

• Developed Java microservices using Spring Boot to process patient data and clinical records while maintaining high availability and strict compliance with healthcare data regulations.
• Built responsive user interfaces using React and TypeScript that improved the workflow for clinicians managing real-time patient status and historical medical records.
• Created RESTful APIs in Python to facilitate secure data exchange between internal core systems and external healthcare partner integrations.
• Implemented data ingestion pipelines using Kafka to handle continuous streams of sensor data and clinical updates for low-latency monitoring across the platform.
• Designed and deployed serverless functions using AWS Lambda to automate background tasks for patient appointment scheduling and automated notifications.
• Improved application performance by refactoring existing Java codebases and implementing caching strategies for frequently accessed clinical data and search results.
• Developed robust data models using PostgreSQL and Hibernate to optimize storage and retrieval for critical healthcare applications and audit trails.
• Configured and maintained CI/CD pipelines using Jenkins to automate builds and deployments of full-stack applications to various production environments.
• Integrated with external systems using a framework that handled inconsistent data formats from different providers to ensure reliable clinical decision support.
• Utilized AWS services like EC2 and S3 to build scalable backend infrastructure that supported a growing user base of medical professionals and patients.

java full stack developer at Marqeta (2022-08 – 2023-07)

• Built scalable backend services using Python and FastAPI to process real-time data streams while maintaining low-latency responses for global issuing operations and enterprise-level system management.
• Designed interactive dashboards using React and TypeScript to visualize complex asset tracking data and ledger balances for logistics and payment services clients using the platform.
• Developed asynchronous data ingestion pipelines using Apache Kafka to synchronize high-volume events across distributed microservices and external partner networks for real-time system reporting.
• Optimized relational database schemas in PostgreSQL to handle millions of concurrent entries, improving query performance for audit trails and regulatory compliance reporting within the infrastructure.
• Created secure RESTful APIs for authorization workflows, implementing strict authentication protocols and data validation to prevent unauthorized activities within the modern technical ecosystem.
• Implemented comprehensive observability solutions using Prometheus and Grafana to monitor system health and detect performance bottlenecks in high-throughput processing environments and backend services.
• Configured containerized deployments using Docker and Kubernetes on AWS, maintaining high availability and seamless scaling for mission-critical services and automated data processing tasks.
• Enhanced software reliability by building automated unit and integration tests with Pytest and Mockito, maintaining code stability across complex integration layers for diverse platform users.
• Automated CI/CD workflows using Jenkins to streamline the deployment of full-stack applications, reducing production release cycles for new features and critical system updates.
• Delivered robust API integrations with third-party IoT sensors and telematics providers, enabling real-time location tracking for high-value asset deliveries managed through the centralized processing platform.

Master of Science in Computer and Information Science – Southern Arkansas University (2025-05)