Financial teams required a secure and scalable way to automatically extract raw data from multiple Wealth Spectrum views while preserving data integrity and enabling seamless querying within cloud-based analytics infrastructure:
Manual data extraction slowed financial data processing workflows.
Lack of automation limited scalability across multiple data views.
Ensuring zero manipulation of source financial data was critical.
Limited integration with cloud analytics tools delayed insights.
Complex datasets required reliable scheduling and monitoring pipelines.
Need for scalable infrastructure to support growing analytics needs.
Solution Provided
Icanio Technologies developed automated Python-based data pipelines to extract Wealth Spectrum data views, securely store them in AWS infrastructure, and enable efficient querying through integrated analytics services:
Automated extraction of 50+ Wealth Spectrum data views.
Raw data stored in AWS S3 and MySQL without transformation.
Apache Airflow orchestrates scheduling, execution, and monitoring workflows.
AWS Glue catalogs datasets for seamless data discovery.
Athena enables fast querying directly from the data lake.
Comprehensive testing and UAT ensured reliable deployment.
