Data Consistency
Maintain integrity across distributed systems and processing stages.
All case studies
Enterprise Data Platform
AWS Big Data Pipeline for Cigna
A scalable AWS data pipeline designed to streamline processing, analytics, governance, and multi-service orchestration.
ClientCigna
IndustryHealthcare
PlatformAWS
Case studyCloud & Consulting
40%Operational cost reduction
Real-timeData processing at scale
IntegratedMulti-service data pipeline
The engagement at a glance
Arina Technologies developed a big-data pipeline using AWS services to streamline data processing and analytics across Cigna's healthcare divisions. The design focused on scalable processing, SQL-based analysis, workflow orchestration, governance, service integration, and high availability.
The challenge
What needed to be solved
The platform needed to process large datasets while maintaining data integrity across distributed services, coordinating multiple AWS components, and keeping critical data continuously available.
Service Integration
Create reliable communication across the AWS services participating in the pipeline.
High Availability
Keep critical data available and resilient across the architecture.
Technology
AWS services used in the implementation
AWS Glue
Data streaming, transformation, and preparation for large datasets.
AWS Athena
SQL-based querying for complex analysis.
AWS Step Functions
Serverless workflow orchestration across processing steps.
AWS CloudTrail
Governance, compliance, and risk auditing.
Challenge → solution
Architecture decisions tied directly to delivery needs
Data Consistency
Implemented validation and synchronization mechanisms across the distributed pipeline.
Service Integration
Used AWS Lambda for real-time processing and anomaly detection.
High Availability
Configured Amazon S3 with multi-region redundancy.
Architecture
Solution architecture
The existing case study includes an end-to-end architecture diagram showing the integration of AWS services across the data pipeline.
The expertise and dedication shown by Arina Technologies have significantly accelerated our big data initiatives. The seamless integration of cloud services has not only reduced our operational costs by 40% but also enhanced our analytics capabilities.
Cigna Data Analytics LeadHealthcare Solutions Provider
Future direction
Building on the data platform
The case study identifies the following areas for expansion.
Predictive analytics capabilities
Machine learning integration
Global data federation
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