1. Amazon EMR (multi-AZ) + AWS Application Recovery Controller (ARC)
Active/passive ETL execution across Availability Zones with deterministic failover control.
2. AWS Step Functions + Amazon S3
Centralized orchestration, restart-safe Spark execution, and checkpointed data persistence.
3. AWS Glue + Amazon Redshift
Layered transformations and curated analytics datasets for reporting and forecasting.
4. Amazon CloudWatch + Datadog Integration
End-to-end pipeline monitoring, alerting, and failure visibility.
1. MongoDB CDC + Amazon EventBridge + AWS Lambda
Event-driven incremental ingestion of high-volume, deeply nested 3D scan data.
2. AWS Step Functions + DynamoDB
Durable orchestration, CDC offset management, and execution state tracking.
3. AWS Glue (PySpark) + Amazon S3
Multi-stage flattening, schema normalization, skew handling, and Parquet optimization.
4. Amazon Redshift + Glue Data Catalog
Governed analytics layer for BI and ML feature access.
1. Amazon MSK + EMR on EKS
High-throughput streaming and micro-batch processing of clinical events.
2. Apache Airflow on EKS + AWS Glue
Workflow orchestration, data quality validation, and schema governance.
3. Amazon S3 (Raw / Curated Zones) + Amazon Athena
Unified clinical data lake supporting ad-hoc research and analytics.
4. Amazon Aurora + Amazon QuickSight
Low-latency dashboards and operational analytics for care teams.
1. Apache Kafka + AWS DMS
Real-time and CDC ingestion from transactional and operational systems.
2. AWS Glue + EMR Serverless
Scalable Spark-based ETL for normalization, deduplication, and aggregation.
3. Amazon S3 (Multi-Layer Data Lake) + Glue Data Catalog
Governed storage with schema evolution, lineage, and lifecycle management.
4. Amazon Redshift + Redshift Spectrum
High-performance analytics, federated querying, and regulatory reporting