Financial Data Lakehouse
Enterprise-ready risk management and compliance platform
Delivered enterprise-ready risk dashboards and anomaly detection using Databricks + Delta Lake.
System Architecture
Interactive Diagram
Financial institutions need real-time risk monitoring and compliance reporting across multiple data sources. Legacy systems create data silos, making it impossible to get a unified view of risk exposure. Manual reporting processes take weeks and are prone to errors, creating regulatory compliance risks and missed business opportunities.
Solution Architecture
Built a modern data lakehouse that unifies trading data, market feeds, and regulatory information. The platform provides real-time risk calculations, automated compliance reporting, and ML-powered anomaly detection to identify potential issues before they become problems.
Data Unification
Delta Lake stores structured and unstructured financial data with ACID transactions
Real-time Processing
Databricks processes market data streams and calculates risk metrics continuously
ML Pipeline
MLflow manages anomaly detection models that identify unusual trading patterns
Reporting & Visualization
Tableau dashboards provide real-time risk monitoring and automated compliance reports
Impact & Outcomes
Compliance Reporting
Reduced regulatory reporting time from 3 weeks to 2 hours with automated pipelines
Risk Detection
ML models identified 95% of anomalous trading patterns within 5 minutes
Data Quality
Achieved 99.99% data accuracy through automated validation and reconciliation
Cost Savings
Eliminated $2M annually in manual reporting costs and regulatory penalties
Tools and technologies chosen to simulate real production pipelines and deliver reliable, scalable solutions.
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