Soumya Sharma

• Develop and deploy scalable, secure, and efficient applications and services on the Azure platform.
• Collaborate with data scientists and software engineers to integrate Generative AI models into business applications, such as chatbots and analytics tools.
• Use Azure Data Factory, Databricks to create and enhance data pipelines, ensuring data quality, scalability, and security.
• Work closely with solution architects, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
• Utilize tools like Terraform and Azure DevOps to automate infrastructure provisioning and management, promoting efficiency and consistency.

• Evaluated needs of departments and delegated tasks to optimize overall production.

• Design and develop RESTful APIs using industry standards and best practices.

• Deploy APIs on cloud platform AWS.

• Gained exposure with managed services like EC2,EKS,ECS, DynamoDb, S3, IAM.

• Designing and developing scalable, resilient microservices using Spring Boot framework.

• Gained exposure in developing serverless apis using Lambda and exposing using ApiGateway.

• Utilize cloud-native technologies and microservices architecture.

• Implement API specifications using Swagger/OpenAPI.

• Collaborate with front-end developers to ensure smooth API consumption.

• Work with business stakeholders to understand requirements and translate them into API design.

• Conduct unit testing, integration testing, and performance testing of APIs.

• Implement API security measures to protect sensitive data.

• Create robust API documentation for internal and external consumption.

• Designing and developing scalable, resilient microservices using Spring Boot framework.

• Implementing RESTful APIs for microservice communication.

• Writing clean, well-tested Java code with unit and integration testing frameworks.

• Collaborating with cross-functional teams to define and implement microservices architecture.

• Troubleshooting and resolving issues within microservices deployments.

• Contributing to continuous integration and deployment (CI/CD) pipelines.