Python served as the core programming language, providing the flexibility and versatility needed for efficient development. We utilized Scrapy, Selenium, beautifulsoup4, and lxml to extract data from various sources, ensuring accurate and reliable information retrieval.

For secure data storage and management, we used PostgreSQL, a powerful and scalable relational database management system. Redis, coupled with Celery, facilitated efficient task queue management and improved overall system performance.

For seamless communication between different components, we implemented gRPC, a high-performance framework that facilitated fast and reliable inter-service communication. This allowed for seamless integration with various U.S. banks and fintech projects, ensuring smooth data exchange.

To enforce data validation and maintain data integrity, we employed Pydantic, a powerful data validation library. This ensured that the SDK operated with consistent and valid data throughout the integration process.

Splash, a headless browser, was utilized to render dynamic web pages and extract relevant information, providing a seamless user experience for the end-users.

Lastly, the use of AWS as the cloud infrastructure provided scalability, high availability, and robustness.It enabled us to deploy and manage the SDK with ease, ensuring optimal performance and reliability.