Client: University Data Management Team
The Challenge
The university needed a scalable and efficient data engineering solution to consolidate information from multiple third-party tools, websites, and internal systems for analytics and decision-making.
The Solution
- Implemented Azure Cloud as the core infrastructure for scalability and security.
- Developed ETL pipelines to extract, transform, and load data from multiple sources, ensuring clean and structured data processing.
- Utilized Azure Data Lake and S3 Buckets to store and manage large datasets.
- Integrated data from third-party tools, APIs, and web sources to create a unified data repository.
- Designed Power BI dashboards to provide real-time insights and analytics for university administrators and decision-makers.
- Ensured data security and compliance with robust access controls and governance policies.
The Results
- Improved data accessibility for faculty and administration.
- Enhanced decision-making through real-time analytics.
- Streamlined data processing, reducing manual efforts by 50%. Increased operational efficiency, leading to better resource management.
