Development of a RESTful API using Python with FastAPI or Node.js with Express. This API will provide endpoints for data retrieval, creation, updating, and deletion, following REST principles to ensure a scalable and maintainable service. Endpoints for CRUD operations Authentication and authorization Data validation and serialization Comprehensive documentation using Swagger or OpenAPI Integration with a relational or NoSQL database

Design and implementation of a microservices architecture using Python or Node.js. Each microservice will be responsible for a specific business capability and will communicate with other services using lightweight protocols such as HTTP/REST or messaging queues.

Development of a real-time data processing system using Node.js with WebSockets or Python with FastAPI. This system will enable the processing and transmission of data in real-time to ensure immediate updates and feedback. Real-time data stream handling WebSocket or Server-Sent Events (SSE) implementation Data transformation and filtering Real-time notifications and alerts Integration with front-end for real-time updates

Creation of automated data pipelines using Python. These pipelines will extract, transform, and load (ETL) data from various sources into a data warehouse or data lake, ensuring data is processed efficiently and accurately.