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Enhanced Data Integration Platform Development with Scalable R&D Team Expansion

newxel.com

Information technology

Big Data

Data Engineering

Challenges in Scaling R&D Operations and Maintaining Productivity

Need to rapidly scale specialized development teams while maintaining productivity amid geopolitical disruptions, ensure seamless remote collaboration, and implement personalized user experiences without compromising system performance or data privacy compliance.

About the Client

Software technology company specializing in in-memory computing and data storage solutions for digital transformation

Strategic Development Goals

Establish scalable R&D infrastructure with Java/Scala expertise
Implement robust team retention strategies through mentorship programs
Develop secure, GDPR-compliant data integration solutions
Maintain 95%+ team productivity during remote operations
Accelerate time-to-market for digital transformation tools

Core Platform Capabilities

Real-time data processing engine
Secure user preference management system
Multi-tenant architecture with role-based access
Automated scaling of in-memory computing resources
Integrated analytics dashboard with customizable widgets

Technology Stack Requirements

Java

Scala

Apache Spark

Kafka

Docker

Kubernetes

System Integration Needs

Cloud provider APIs (AWS/Azure)
CI/CD pipeline tools
Monitoring and observability platforms
Identity management systems

Performance and Security Standards

99.99% system availability SLA
Sub-50ms latency for core operations
ISO 27001-compliant security framework
Horizontal scaling to 10,000+ concurrent users
Automated failover and disaster recovery

Expected Business Outcomes

Enables 40% faster deployment of digital transformation solutions, reduces legacy system integration costs by 60%, and supports enterprise-grade scalability while maintaining developer productivity across distributed teams. The solution will futureproof client investments through modular architecture and adaptive security protocols.