Cloud Data Warehouse Migration and Optimization for Financial Technology Platform

Financial services

Fintech

Challenges in Data Migration and Infrastructure Modernization for Fintech Platforms

The client needs to disaggregate from an existing infrastructure provider, requiring the swift migration of over 10 TB of structured data to a cloud-based data warehouse, within a tight 3-month timeline. Ensuring data integrity, business continuity, and performance during this migration is critical, along with establishing a scalable and independent analytics architecture.

About the Client

A rapidly growing fintech company specializing in online payment solutions across multiple countries, seeking to modernize and optimize their data infrastructure for independence and scalability.

Goals for Data Infrastructure Modernization and Independence

Successfully migrate and re-implement data models and business logic in a new cloud-based data warehouse environment within 3 months.
Achieve full independence from the previous infrastructure provider, reducing reliance on external IT resources.
Migrate over 10 TB of structured data ensuring quality and performance standards.
Implement secure, scalable, and high-performance data storage and processing solutions to support ongoing analytics and functionalities.
Enable future expansion and optimization by connecting new data sources and developing additional functionalities post-implementation.

Core Functional System Needs for Data Migration and Management

Data model and business logic re-implementation tailored for cloud architecture
Migration of over 10 TB of structured data ensuring data integrity and quality
Development of an internal analytics dashboard or reporting interface
Supports scalability for future data sources and analytics needs
Efficient data ingestion, processing, and querying functionalities

Preferred Technologies and Architectural Approaches

Cloud Data Warehouse Platform (e.g., Azure Data Warehouse, Snowflake, or equivalent)

SQL-based data management systems

ETL/ELT tools (e.g., SSIS, similar) for data integration

Application frameworks supporting .NET or similar technologies

Business intelligence tools (e.g., Tableau or equivalent) for data visualization

Use of JSON and Azure Blob Storage for unstructured or semi-structured data

External Data Source and System Integration Needs

Legacy infrastructure systems for data extraction
Third-party data sources and APIs for ongoing data enrichment
Business reporting and visualization tools
Security and authentication services for data governance

Performance, Security, and Scalability Requirements

Migration timeline of approximately 3 months from requirement to go-live
Ability to process and migrate over 10 TB of data with high data quality and performance
System availability and reliability with minimal downtime during migration
Secure handling of sensitive payment and user data in compliance with industry standards
Scalable architecture to accommodate future data sources and analytics functionalities

Projected Business Benefits and Strategic Impact

The successful implementation of this cloud data warehouse migration will enable the client to operate independently of legacy infrastructure, providing high-quality, scalable data access and analytics, reducing reliance on external providers, and supporting rapid growth. The migration is expected to improve data processing speeds, ensure data security, and lay the foundation for future functionalities, ultimately enhancing decision-making capabilities and operational agility.