Praveena Pathakamuri

✅ Led the design and development of scalable backend systems using Java, Spring Boot, and REST APIs, enabling faster deployments and reduced downtime.

✅ Implemented microservices architecture for enterprise applications, breaking down monolithic systems into modular, maintainable components.

✅ Built and automated daily health check tools using Python, saving significant manual effort for operations teams and improving incident response time.

✅ Developed monitoring dashboards (e.g., SLA, Executive Dashboards) to visualize application health and SLA adherence for business and tech teams.

✅ Deployed and managed cloud infrastructure on AWS and used Terraform for Infrastructure as Code to standardize environments.

✅ Configured CI/CD pipelines using Jenkins and Git, integrating build, test, and deployment workflows for quicker release cycles.

✅ Collaborated directly with clients and stakeholders, gathering requirements and delivering solutions within agreed timelines in Agile environments.

✅ Mentored junior developers, led code reviews, and participated in architecture design discussions to improve team delivery and code quality.

✅ Designed, developed, and maintained cloud-based microservices and web applications using Java, Spring Boot.

✅ Deployed and managed applications on AWS, with hands-on experience in services like EC2, S3, Lambda, RDS, and CloudWatch.

✅ Led performance monitoring initiatives using AppDynamics and Dynatrace, including agent setup, dashboard/report creation, and root cause analysis for performance issues.

✅ Automated operational tasks using Linux shell scripting and Python, improving system reliability and reducing manual intervention.

✅ Acted as SME and primary contact for critical production systems—managed incidents, coordinated with stakeholders, and ensured high application availability.

✅ Developed real-time dashboards by integrating Spring Boot and REST APIs to aggregate data from multiple databases, with a responsive HTML/CSS UI that visualizes key business metrics and highlights performance issues through intuitive alerts.