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Middleware Integration Engine for Cross-System Data Synchronization
  1. case
  2. Middleware Integration Engine for Cross-System Data Synchronization

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Middleware Integration Engine for Cross-System Data Synchronization

knubisoft.com
Financial services
Information technology
Venture Capital

Challenge: Data Synchronization Across Systems

Rapid product growth created critical data inconsistencies across multiple systems and environments. The client required a solution to maintain real-time synchronization between databases, files, services, and APIs while ensuring data accuracy across organizational boundaries.

About the Client

Global venture capital firm with operations in London, New York, San Francisco, Singapore, and China, specializing in scaling startups through strategic investments.

Objectives: Unified Data Management

  • Develop a customizable middleware engine for cross-system integration
  • Create a production-mirrored test environment for comprehensive validation
  • Implement data processing algorithms to resolve inconsistencies
  • Enable API-driven synchronization with third-party systems

Core System Capabilities

  • Customizable integration adapters for databases/APIs
  • Multi-organization data processing pipelines
  • Production-like test environment provisioning
  • ActiveDirectory/Slack/Confluence synchronization APIs
  • Data inconsistency detection and resolution engine

Technology Stack

Python
Pipenv
MySQL
Jenkins
Java
NodeJS

System Integrations

  • Relational databases
  • Cloud storage systems
  • Enterprise communication platforms (Slack)
  • Collaboration tools (Confluence)
  • Directory services (ActiveDirectory)

Operational Requirements

  • Horizontal scalability for growing data volumes
  • 99.9% system availability SLA
  • End-to-end data encryption
  • Real-time synchronization latency <500ms

Expected Business Impact

Implementation will optimize business processes through automated data accuracy, reduce manual data reconciliation efforts by 70%, ensure consistent user profile management across systems, and enable seamless integration with critical enterprise tools while maintaining compliance with financial data security standards.

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