Java Developer

Introduction:

The candidate is an experienced full-stack software engineer with a strong background in building and scaling secure web applications. They have expertise in developing microservices and backend systems using technologies such as Node.js, Python, and Java, with a focus on improving performance and enhancing data flow across platforms. Their experience spans both front-end and back-end development, with skills in React.js, Angular, and various databases like PostgreSQL and MongoDB. The candidate has worked extensively with cloud technologies, particularly AWS, and is proficient in integrating services like Kafka, RabbitMQ, and gRPC for efficient communication and data processing. They have a solid understanding of DevOps practices, using Docker, Jenkins, Kubernetes, and Terraform to optimize CI/CD pipelines, automate deployments, and ensure scalability and reliability. Their expertise also includes building robust APIs and business logic, utilizing frameworks like Spring Boot, FastAPI, and Django, and implementing real-time data processing solutions. The candidate has demonstrated a strong ability to collaborate within teams, optimize workflows, and drive continuous improvement, making them a valuable asset in both startup and large-scale corporate environments.

Responsibilities:

• Developed and optimized order tracking and reporting capabilities using Node.js, Python, GraphQL, and Kafka.
• Built and maintained microservices to support new product lines, improving latency and data flow across platforms.
• Developed front-end applications with React.js, enhancing user experience for supply chain management.
• Integrated AWS services and optimized CI/CD pipelines with Docker, Jenkins, and Terraform for automated deployments.
• Collaborated on integrating REST APIs and GraphQL to improve internal and external data exchange.
• Built robust APIs and backend services using Node.js and Spring Boot to enhance various platform functionalities.
• Implemented business logic using Java and Python, integrated with Angular front-end for efficient data management.
• Utilized Apache Camel and Drools for business rule orchestration and data transformation to meet business logic requirements.
• Managed and optimized continuous integration and deployment processes using GitLab CI/CD.
• Established DevOps structures and automated build processes with Docker, Jenkins, and Kubernetes for scalability.
• Developed cloud-based solutions using Node.js, React.js, AWS, and PostgreSQL for renewable energy project workflows.
• Built backend services for wind simulation modeling and data analysis, improving energy output forecasting.
• Migrated legacy services to modern architectures using Node.js, Python, Docker, and Kubernetes for improved reliability and scalability.
• Maintained high-traffic microservices responsible for delivery options and customer data tracking.
• Operated infrastructure for collecting and forwarding customer behavioral data to various tracking systems.
• Worked on improving real-time data processing and backend systems for high-volume applications.