Automating Data Processing for Risk Management and Compliance
Financial institutions manage sensitive data, including transaction records, customer profiles, and market data. Data engineers create automated pipelines that ingest, validate, and cleanse data from multiple sources, ensuring it is securely stored in compliant repositories. This enables continuous risk monitoring and real-time compliance checks.