Deepthi Pamisetty
@deepthipamisetty7
Experienced Software Engineer specializing in full-stack development and cloud systems.
What I'm looking for
As a dedicated Software Engineer with over 5 years of experience, I have honed my skills in full-stack development, focusing on building scalable and efficient applications. My expertise spans across various technologies, including Java, Spring Boot, Node.js, and React.js, which I have leveraged to create robust solutions that meet business needs. I am passionate about enhancing user experiences through innovative design and seamless integration of advanced technologies.
Throughout my career, I have successfully led projects that transformed monolithic applications into microservices architectures, significantly improving scalability and deployment speed. My work at Wayfair involved engineering dynamic user interfaces and optimizing backend services, resulting in increased user engagement and reduced latency. I thrive in collaborative environments, utilizing Agile methodologies to deliver high-quality software solutions while maintaining a strong focus on security and compliance.
Experience
Work history, roles, and key accomplishments
Led AR e-commerce app migration to AWS microservices using ECS, Lambda, and API Gateway. Built React.js interfaces, integrated AR features, and enhanced UX. Deployed Spring Boot APIs on Fargate, improved search with OpenSearch, and reduced latency with Redis and RDS. Boosted user engagement by 25% with responsive AR and caching.
Built real-time sync services with Kafka and Java for financial dashboards. Secured APIs with OAuth2, JWT, and RBAC. Deployed microservices on AKS, optimized with Redis and PostgreSQL. Enhanced observability using ELK, Actuator, and Azure Monitor. Automated CI/CD with Jenkins, enabling Blue-Green deployments and faster releases.
Developed scalable RESTful APIs using Java, Spring Boot, and React.js, ensuring seamless integration across business applications while maintaining high availability and minimal downtime. Optimized cloud deployments by leveraging AWS EKS (Elastic Kubernetes Service) and Terraform, enabling automatic scaling, efficient resource utilization, and seamless management of fluctuating workloads.
Education
Degrees, certifications, and relevant coursework
University of Texas at Arlington
Master of Science, Computer Science
Pursued a Master of Science in Computer Science. Focused on advanced topics in the field, preparing for complex software engineering roles.
GITAM School of Technology
Bachelor of Technology, Computer Science and Engineering
Completed a Bachelor of Technology in Computer Science and Engineering. Gained foundational knowledge in computer science principles and engineering practices.
Tech stack
Software and tools used professionally
Postman
Ehcache
GitHub
SonarQube
Kubernetes
AWS Fargate
Azure Kubernetes Service
Jenkins
GitHub Actions
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Node.js
Django
Spring Boot
.NET
three.js
Redis
Terraform
Azure DevOps
Jira
Azure Boards
Gradle
React
WebGL
JavaScript
HTML5
Java
CSS 3
Logstash
TensorFlow
Amazon ElastiCache
Kafka
RabbitMQ
Grafana
Kibana
Prometheus
Azure Monitor
Linux
GraphQL
Elasticsearch
OpenSearch
Spring Security
Amazon RDS
TypeScript
JUnit
Mockito
OAuth2
Time Analytics
s3-lambda
Amazon Web Services (AWS)
NgRx
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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