Nithish Kumar
Software Engineer
- Role
- Full Stack Developer at Goldman Sachs
- Location
- Clayton, NJ, US
- LinkedIn followers
- 500 followers
About Nithish Kumar
I am a passionate and results-driven Senior Java Full Stack Developer with over 8 years…
Experience
Full Stack Developer
Feb 2024 — Present · NY, US
Implemented dynamic web applications using Angular 14 and backend APIs with Spring Boot.• Migrated Angular 12 to Angular 14 by updating components, router modules, and configuration files.• Developed modular, reusable UI components and built Angular services to interact with backend systems.• Built a Node.js layer for authentication, authorization, and session management using LDAP and PingAccess (SSO).• Developed RESTful APIs using Spring MVC, Spring Security, Spring Data JPA, and Spring Boot Actuator.• Configured and maintained CI/CD pipelines using Jenkins; modified Jenkinsfiles based on pipeline needs.• Developed and deployed real-time streaming applications using Apache Flink to detect anomalies in financial transactions.• Designed Flink dataflows to handle high-volume data streams with custom logic for event-time processing, keyBy/stateful operations, and complex event processing (CEP).• Deployed microservices to Kubernetes clusters; used Docker for containerization and hybrid cloud delivery.• Designed and deployed AWS infrastructure (EC2, S3); implemented Route53 for domain mapping.• Used Apache Kafka for event streaming and inter-service communication; integrated Hystrix for circuit breaking.• Applied OAuth 2.0 for securing REST APIs; developed web services using REST/XML.• Created Swagger-based YAML documentation for APIs and enabled monitoring using Spring Boot Actuator.• Integrated JMS with Spring Boot using ActiveMQ and developed WebLogic JMS components.• Developed microservices with Spring Cloud Netflix components like ZUUL and integrated metrics with Kafka.• Used NPM to manage package versions and dependencies; applied best practices for frontend build optimization.• Developed Python scripts to automate data ingestion from external APIs and perform ETL processing tasks integrated with Kafka pipelines.• Used Python with Pandas and NumPy for pre-processing datasets before pushing them to PostgreSQL and S3 Storage.
Education
Guru Nanak Institutions Technical Campus
Bachelor of Technology - BTech
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