Data Engineering
Real-time Data Processing: Kinesis, Kafka
Enable real-time analytics and insights from IoT-enabled medical devices with a fully managed serverless architecture.
Improved Device Interoperability: Unified data layer for multiple device types.
AI-Powered Alerts: Proactive health monitoring with automated alerts.
Scalable & Cost-Efficient: Only pay for what you use, reduced infrastructure management.
Centralized data processing from multiple IoT sources.
Processing large-scale health data efficiently.
Integrating diverse IoT medical devices data into a unified system.
Ensuring real-time monitoring and AI-powered alerts.
AI-driven analytics for predictive insights.
Event-driven architecture for real-time monitoring.
Real-time Data Processing: Kinesis, Kafka
Event-driven Architecture: SNS, SQS
Databricks, AWS, Fivetran