# EmpowerHealth Backend & Infrastructure Implementation Timeline ## 10-Week Development Sprint Plan ### Executive Summary This timeline outlines the critical path for completing backend services, infrastructure provisioning, and ML/AI capabilities for the EmpowerHealth platform. The plan includes initial development and testing in EmpowerHealth's Azure environment, followed by migration to SFMC's Azure account. All configuration and DevOps tasks are consolidated under Dominique's ownership, with backend and data science tasks distributed between Jermell and JR. --- ## Week 1: Infrastructure Foundation - EmpowerHealth Environment **Goal:** Establish complete Azure infrastructure in EmpowerHealth's account **Owner:** Dominique (DevOps/SRE) ### Infrastructure Configuration Block - **Azure Environment Setup** - Create Azure subscription and resource groups (dev, staging, prod) - Configure Azure Active Directory B2C tenant - Set up Key Vault for secrets management - Configure service principals and managed identities - **Networking Foundation** - Deploy Virtual Network (VNet) with subnets - Configure Network Security Groups (NSGs) - Set up NAT Gateway and public IPs - Establish Private Endpoints for services - **Core Services Deployment** - Deploy Azure Cache for Redis - Set up Azure Database for PostgreSQL - Configure Application Gateway - Set up Azure Front Door with WAF rules - Deploy App Service Plans (all environments) - **Snowflake Configuration** - Create Snowflake account and warehouses - Configure Azure-Snowflake connectivity - Set up databases and schemas - Create service accounts and roles **Week 1 Deliverables:** - Complete infrastructure provisioned in EmpowerHealth Azure - All environments operational - Snowflake fully configured - Security and networking established --- ## Week 2: Backend API Foundation **Goal:** Establish core FastAPI services and authentication ### Monday-Wednesday: Core API Development **Primary:** Jermell | **Secondary:** JR - **API Foundation** - Set up FastAPI project structure - Implement authentication/authorization middleware - Create base models and schemas - Develop error handling and logging framework ### Thursday-Friday: Authentication & Core Endpoints **Primary:** Jermell | **Secondary:** JR - **Endpoints Implementation** - `/health` - Health check endpoint - `/auth/*` - Authentication endpoints - `/api/v1/patients/*` - Patient data endpoints - `/api/v1/drg/*` - DRG analysis endpoints **Week 2 Deliverables:** - Core API structure established - Authentication/authorization functional - Basic endpoints operational - Error handling implemented --- ## Week 3: Data Pipeline & Connectivity **Goal:** Establish data ingestion and database connectivity ### Monday-Tuesday: Database Connectivity **Primary:** Jermell | **Secondary:** JR - **Data Connectors** - Implement Snowflake connector with connection pooling - Set up Redis caching layer - Create database migration scripts - Implement retry logic and circuit breakers ### Wednesday-Friday: Data Pipeline Setup **Primary:** JR | **Secondary:** Jermell - **Snowflake Data Ingestion** - Configure Snowpipe for automated ingestion - Create external stages for Epic EMR data - Set up Snowflake Streams and Tasks - Implement data transformation stored procedures - **Data Model Implementation** - Create raw data tables - Build cleansed data layer - Establish dimensional model - Set up fact tables **Week 3 Deliverables:** - Database connectivity established - Data pipeline operational - Data model implemented - Ingestion mechanisms configured --- ## Week 4: ML/AI Implementation - Snowflake Cortex **Goal:** Deploy primary ML models using Snowflake Cortex ### Monday-Wednesday: Snowflake ML Setup **Primary:** JR | **Secondary:** Jermell - **Cortex AI Configuration** - Enable Cortex AI functions - Implement DRG classification using CLASSIFY_TEXT - Create risk stratification model - Set up feature engineering pipelines ### Thursday-Friday: Model Training & Validation **Primary:** JR | **Secondary:** Jermell - **Model Development** - Prepare training datasets - Train custom models for DRG prediction - Implement model versioning - Create validation metrics **Week 4 Deliverables:** - Snowflake ML models deployed - Feature engineering complete - Model validation metrics established - Initial predictions working --- ## Week 5: Azure ML Backup & Advanced APIs **Goal:** Implement backup ML services and complete API functionality ### Monday-Tuesday: Azure ML Setup **Primary:** JR | **Secondary:** Jermell - **Azure Machine Learning** - Deploy Azure Machine Learning workspace - Set up Text Analytics for Health - Configure Azure OpenAI Service - Create Azure Functions for inference ### Wednesday-Friday: Advanced API Development **Primary:** Jermell | **Secondary:** JR - **ML Integration Endpoints** - `/api/v1/ml/predict` - Real-time predictions - `/api/v1/ml/batch` - Batch processing - `/api/v1/reports/*` - Report generation - `/api/v1/analytics/*` - Analytics endpoints **Week 5 Deliverables:** - Azure ML backup configured - Complete API functionality - ML endpoints integrated - Business logic implemented --- ## Week 6: Security, Compliance & CI/CD **Goal:** Implement security controls and automation pipelines ### Monday-Tuesday: Security Implementation **Owner:** Dominique (DevOps/SRE) - **HIPAA Compliance Setup** - Configure encryption at rest - Implement end-to-end TLS - Set up audit logging - Configure data masking ### Wednesday-Friday: CI/CD & Infrastructure as Code **Owner:** Dominique (DevOps/SRE) - **Automation Setup** - Create GitHub Actions workflows - Complete Terraform modules - Configure deployment pipelines - Implement state management **Week 6 Deliverables:** - Security controls implemented - CI/CD pipelines operational - Infrastructure as Code complete - Compliance measures in place --- ## Week 7: Testing & Performance Optimization **Goal:** Complete testing in EmpowerHealth environment ### Monday-Tuesday: Integration Testing **Primary:** Jermell | **Secondary:** JR - **End-to-End Testing** - Test data ingestion pipeline - Validate ML predictions - Verify API performance - Test authentication flows ### Wednesday-Thursday: Performance Tuning **Primary:** JR | **Secondary:** Jermell - **ML Optimization** - Optimize model inference times - Tune Snowflake queries - Configure caching strategies - Implement batch processing optimizations ### Friday: Security Testing **Owner:** Dominique (DevOps/SRE) - **Security Validation** - Run vulnerability scans - Validate HIPAA controls - Test encryption - Review access controls **Week 7 Deliverables:** - All tests passing in EmpowerHealth environment - Performance optimized - Security validated - System ready for migration --- ## Week 8: SFMC Infrastructure Setup **Goal:** Replicate infrastructure in SFMC Azure account **Owner:** Dominique (DevOps/SRE) ### Infrastructure Replication - **SFMC Azure Setup** - Create SFMC resource groups - Deploy infrastructure using Terraform - Configure networking and security - Set up monitoring and alerting - **Service Configuration** - Replicate App Service configurations - Set up databases and caching - Configure Snowflake connections - Establish security policies **Week 8 Deliverables:** - Complete infrastructure in SFMC Azure - All services configured - Security policies applied - Monitoring established --- ## Week 9: Application Migration to SFMC **Goal:** Migrate applications and data to SFMC environment ### Monday-Tuesday: Backend Migration **Primary:** Jermell | **Secondary:** JR - **Application Deployment** - Deploy FastAPI applications - Configure API endpoints - Set up authentication - Validate connectivity ### Wednesday-Thursday: Data & ML Migration **Primary:** JR | **Secondary:** Jermell - **Data Pipeline Migration** - Configure Snowflake connections - Set up data ingestion - Deploy ML models - Validate predictions ### Friday: Integration Validation **Owner:** Dominique (DevOps/SRE) - **System Validation** - Run health checks - Validate monitoring - Test failover scenarios - Verify security controls **Week 9 Deliverables:** - Applications deployed in SFMC - Data pipelines operational - ML models functioning - System validated --- ## Week 10: Production Preparation & Go-Live **Goal:** Final testing and production deployment in SFMC ### Monday-Tuesday: Final Testing **Primary:** Jermell | **Secondary:** JR - **Production Validation** - Execute smoke tests - Validate with sample data - Test all API endpoints - Verify ML predictions ### Wednesday: Production Deployment **Owner:** Dominique (DevOps/SRE) - **Go-Live Activities** - Execute production deployment - Configure DNS and routing - Enable monitoring and alerting - Perform final health checks ### Thursday-Friday: Documentation & Handover **Primary:** All Team Members - **Documentation (Lead: Jermell)** - API documentation completion - Technical architecture docs - Data pipeline documentation - **Operations Handover (Lead: Dominique)** - Operations runbooks - Monitoring procedures - Incident response guides - **ML Documentation (Lead: JR)** - Model documentation - Feature engineering guides - Performance baselines **Week 10 Deliverables:** - Production system live in SFMC - Complete documentation - Team trained on operations - Handover complete --- ## Critical Path Timeline Visualizations ### Weeks 1-3: Foundation Phase ```mermaid gantt title Foundation Phase (Weeks 1-3) dateFormat YYYY-MM-DD section Week 1 - Infrastructure Azure Setup [Dominique] :infra1, 2025-09-16, 5d section Week 2 - Backend API Foundation [Jermell/JR] :api1, 2025-09-23, 3d Auth & Endpoints [Jermell/JR] :api2, 2025-09-26, 2d section Week 3 - Data DB Connectivity [Jermell/JR] :db1, 2025-09-30, 2d Data Pipeline [JR/Jermell] :data1, 2025-10-02, 3d ``` ### Weeks 4-6: ML & Security Phase ```mermaid gantt title ML & Security Phase (Weeks 4-6) dateFormat YYYY-MM-DD section Week 4 - Snowflake ML Cortex Setup [JR/Jermell] :ml1, 2025-10-07, 3d Model Training [JR/Jermell] :ml2, 2025-10-10, 2d section Week 5 - Azure ML Azure ML Setup [JR/Jermell] :azml1, 2025-10-14, 2d Advanced APIs [Jermell/JR] :api3, 2025-10-16, 3d section Week 6 - Security Security Setup [Dominique] :sec1, 2025-10-21, 2d CI/CD Setup [Dominique] :cicd1, 2025-10-23, 3d ``` ### Weeks 7-10: Migration & Deployment Phase ```mermaid gantt title Migration & Deployment Phase (Weeks 7-10) dateFormat YYYY-MM-DD section Week 7 - Testing Integration Tests [Jermell/JR] :test1, 2025-10-28, 2d Performance Tuning [JR/Jermell] :perf1, 2025-10-30, 2d Security Testing [Dominique] :sec2, 2025-11-01, 1d section Week 8 - SFMC Setup SFMC Infrastructure [Dominique] :sfmc1, 2025-11-04, 5d section Week 9 - Migration App Migration [Jermell/JR] :mig1, 2025-11-11, 2d Data Migration [JR/Jermell] :mig2, 2025-11-13, 2d Validation [Dominique] :val1, 2025-11-15, 1d section Week 10 - Go-Live Final Testing [Jermell/JR] :final1, 2025-11-18, 2d Production Deploy [Dominique] :prod1, 2025-11-20, 1d Documentation [All] :doc1, 2025-11-21, 2d ``` --- ## Task Assignment Matrix | Week | Task Category | Primary Owner | Secondary Owner | |------|--------------|---------------|-----------------| | 1 | Infrastructure Setup | Dominique | N/A | | 2 | API Foundation | Jermell | JR | | 3 | Database Connectivity | Jermell | JR | | 3 | Data Pipeline | JR | Jermell | | 4 | Snowflake ML | JR | Jermell | | 5 | Azure ML | JR | Jermell | | 5 | Advanced APIs | Jermell | JR | | 6 | Security & CI/CD | Dominique | N/A | | 7 | Integration Testing | Jermell | JR | | 7 | Performance Tuning | JR | Jermell | | 8 | SFMC Infrastructure | Dominique | N/A | | 9 | Application Migration | Jermell | JR | | 9 | Data/ML Migration | JR | Jermell | | 10 | Final Testing | Jermell | JR | | 10 | Production Deployment | Dominique | N/A | --- ## Success Criteria by Week ### Week 1 - [ ] EmpowerHealth Azure infrastructure complete - [ ] All services accessible and configured - [ ] Snowflake connectivity established ### Week 2 - [ ] Core APIs responding to health checks - [ ] Authentication working end-to-end - [ ] Basic CRUD operations functional ### Week 3 - [ ] Data flowing into Snowflake - [ ] Database connections stable - [ ] Data transformations working ### Week 4 - [ ] Snowflake ML models trained - [ ] DRG predictions functional - [ ] Feature engineering automated ### Week 5 - [ ] Azure ML backup operational - [ ] All API endpoints complete - [ ] ML integration tested ### Week 6 - [ ] Security scans passing - [ ] CI/CD pipelines deploying - [ ] Terraform modules complete ### Week 7 - [ ] All integration tests passing - [ ] Performance benchmarks met - [ ] Security validated ### Week 8 - [ ] SFMC infrastructure deployed - [ ] All services replicated - [ ] Monitoring configured ### Week 9 - [ ] Applications migrated to SFMC - [ ] Data pipelines operational - [ ] System validation complete ### Week 10 - [ ] Production system live - [ ] Documentation complete - [ ] Team handover done