Manoj Gandla

HMS Solutions (Health Management System) for AHIP (America's Health Insurance Plans) comprises three modules: Company Processing, Patient Information, and Medical Record System. It handles administrative functions, and patient aspects including appointments, registrations, admissions, and billing, and maintains comprehensive medical records from visits to treatments and billing.

Responsibilities:

• Designed and developed Controller, Service, and DAO layers integrating Spring and Hibernate frameworks for scalable HMS modules.

• Implemented Spring Service Interfaces and DAOs with Hibernate, leveraging annotations for entity relationships and performance optimization.

• Utilized Spring IoC for dependency injection, integrated SQL DB for CRUD operations, and validated APIs using Postman.

• Developed RESTful web services with Spring Boot for patient, appointment, and billing modules.

• Applied exception handling, logging (Log4j), and validation frameworks to improve code robustness.

• Designed and optimized complex SQL queries, joins, stored procedures, and triggers for healthcare data management.

• Configured and deployed applications on Apache Tomcat and Azure App Services.

• Managed Azure resources (VMs, Storage Accounts, Resource Groups) and provided support for Azure Active Directory and RBAC.

• Implemented CI/CD pipelines with Azure DevOps for automated build, testing, and deployment.

• Monitored application performance using Azure Monitor and set up alerts/logging for proactive issue resolution.

• Ensured HIPAA compliance by implementing secure authentication, access control, and data encryption.

• Participated in daily stand-ups, sprint planning, and retrospectives, working in Agile Scrum methodology.

The Florida Power and Light (FPL) project, under NextEra Energy, aims to deploy solutions for Solar, Wind, and Battery fleets by analyzing SCADA IoT sensor data, utilizing AWS cloud computing stack, serverless computing, PostgreSQL, Java Spring Boot, Python, and libraries like NumPy, SciPy, Pandas, and Matplotlib.

Responsibilities:

• Developed and deployed serverless applications on AWS using Lambda, S3, API Gateway, and DynamoDB to process SCADA IoT sensor data.

• Implemented data ingestion and transformation pipelines using Python (NumPy, Pandas, SciPy) for analyzing solar, wind, and battery fleet performance.

• Designed and optimized RESTful APIs with Java Spring Boot for energy monitoring and reporting applications.

• Managed PostgreSQL databases, including schema design, query optimization, and integration with cloud applications.

• Automated infrastructure provisioning and deployments using AWS CloudFormation and CI/CD pipelines.

• Built data visualization dashboards and reports with Python (Matplotlib, Seaborn) to support predictive maintenance and operational insights.

• Collaborated with cross-functional teams (cloud, DevOps, and data engineering) to deliver scalable, secure, and cost-efficient energy solutions.

• Ensured high availability and fault-tolerance of applications by leveraging AWS best practices and monitoring with CloudWatch.

Ernst & Young's Data Management System (DMS) and Financial Reporting (FR) services provide comprehensive data handling and optimized financial information presentation for informed decision-making.

Responsibilities:

• Designed, implemented, and managed CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) for faster and reliable software delivery.

• Automated infrastructure provisioning and configuration using Terraform, Ansible, and ARM templates.

• Managed and optimized cloud environments (Azure, AWS, GCP) ensuring scalability, cost-efficiency, and security.

• Built and maintained monitoring & logging solutions (Prometheus, Grafana, ELK, Azure Monitor) to ensure high system availability.

• Administered infrastructure operations including networking, storage, virtual machines, and security policies.

• Collaborated with cross-functional teams to enforce DevOps best practices, improving release cycles and reducing downtime.

• Supported Java-based microservices (Spring Boot) deployments in containerized (Docker/Kubernetes) environments.