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Unified Data Infrastructure for Scalable Risk Management in Fintech

coherentsolutions.com

Financial services

Insurance

Utilities

Credit cards

Challenges in Data Processing and System Integration

The organization faces critical challenges including inconsistent data pipelines causing scalability issues, manual processing bottlenecks consuming 20+ hours monthly, and lack of dynamic orchestration between legacy systems and modern cloud-native components. These issues hinder operational efficiency, delay reporting, and limit growth potential.

About the Client

Leading UK fintech platform enabling users to compare financial products and services with real-time data processing capabilities

Objectives for Enhanced Data Infrastructure

Implement fully automated data orchestration pipelines
Reduce manual processing effort by 80%+
Achieve 35%+ improvement in data processing speed
Establish scalable integration between legacy and cloud-native systems
Enhance data reliability for strategic decision-making

Core System Functionalities

Modular DAG-based pipeline orchestration
Real-time data ingestion and transformation
Legacy system integration layer
Automated error handling and rollback mechanisms
Centralized monitoring and observability dashboards

Technology Stack

Apache Airflow

Google Cloud Platform (GCP)

BigQuery

dbt

Terraform

System Integrations

Legacy on-premise databases
Cloud-native microservices
Third-party financial data APIs

Operational Requirements

Horizontal scalability
99.9% system uptime
Data encryption at rest/transit
Auto-scaling capabilities
Compliance with financial data regulations

Expected Business Impact of Data Infrastructure Modernization

Implementation will save 20+ hours monthly in manual operations, accelerate data processing by 35%, and establish a scalable foundation for future growth. The solution will enable faster strategic decision-making through improved data reliability and provide a 30% reduction in infrastructure costs through optimized cloud resource utilization.