This project aims to implement a robust and scalable solution that automates critical data validation, reconciliation, and profiling tasks across multiple data sources such as SQL Server, Oracle, PeopleSoft etc. into an Enterprise Data Platform on Snowflake. This solution will streamline processes, ensuring data accuracy, completeness, and reliability while enabling seamless integration with various data sources. By incorporating automated capabilities for testing, validation, and performance monitoring, the project will enhance operational efficiency and support data-driven decision-making. Additionally, the solution will include features for test management, incremental data validation, and ensure consistency across environments. It will also provide tools for generating quality scores and enabling effective monitoring. This initiative is aligned with industry best practices and will empower teams to handle complex datasets with confidence and precision.
