Multi-Domain Cloud Architecture • Data & IoT Solutions • Serverless Engineering • FinOps
This portfolio showcases AWS end-to-end architectures I’ve designed and implemented — each following AWS Well-Architected Framework pillars (Security, Reliability, Performance Efficiency, Cost Optimization, Operational Excellence).
All projects are production-grade, cost-aware, and documented with IaC, architecture diagrams, and service breakdowns.
Goal: Enable real-time retail insights and personalization using serverless analytics.
Key AWS Services: S3 Data Lake, Lambda, Glue, Athena, Redshift Serverless, QuickSight, API Gateway, CloudWatch.
Highlights:
- Serverless event ingestion and ETL pipeline
- Lakehouse architecture for BI dashboards
- FinOps tagging and cost monitoring
📂/retail-analytics-platform
Goal: Capture, process, and analyze user interactions (clicks, sessions, paths) for real-time behavioral insights.
Architecture:
- API Gateway → Lambda → SQS/Kinesis → S3 (raw → curated)
- Glue Catalog + Athena queries
- QuickSight dashboards for behavioral funnels
Focus: Event-driven ingestion, lightweight transformation, analytics at scale.
📂/clickstream-analytics
Goal: Build a secure, HIPAA-style data platform for medical data ingestion, storage, and analytics.
AWS Stack: S3 (PHI segregation zones), Glue, Athena, Redshift, CloudTrail, KMS, IAM, GuardDuty, Security Hub.
Features:
- PHI encryption in transit and at rest
- Access logging and audit compliance
- Curated data layers for analytics
📂/healthcare-data-platform
Goal: Collect, process, and analyze IoT device telemetry data from edge to cloud in real time.
Flow: IoT Core → Kinesis → Lambda → DynamoDB/S3 → QuickSight
Highlights:
- Edge-to-cloud telemetry
- Time-series metrics and anomaly detection
- Secure device identity and MQTT communication
📂/iot-sensor-analytics
| Category | Core AWS Services Used |
|---|---|
| Compute & Serverless | Lambda, Fargate, API Gateway, AppSync |
| Data & Analytics | S3, Glue, Athena, Redshift, QuickSight, Kinesis |
| Storage & Databases | DynamoDB, S3, RDS (Aurora) |
| Security & Governance | IAM, KMS, WAF, GuardDuty, CloudTrail, Security Hub |
| Observability | CloudWatch, X-Ray, SNS, Cost Anomaly Detection |
| Networking | VPC, CloudFront, Route 53, PrivateLink |
| IaC & DevOps | AWS CDK, CloudFormation, CodePipeline, CodeBuild |
| FinOps & Optimization | Budgets, Cost Explorer, Tag Policies, Intelligent Tiering |
Each design balances performance, scalability, and cost efficiency, using AWS Free Tier or pay-as-you-go resources whenever possible.
| Environment | Est. Monthly Cost | Description |
|---|---|---|
| Dev/Test | $25–$50 | Lightweight deployments and demo data |
| Prod (SMB) | $200–$400 | Scaled workloads with observability |
| Enterprise | $1K–$1.5K | Full analytics stack with security & compliance |
Detailed cost modeling and tagging examples can be found in /finops.
aws-solutions-architect/
├── clickstream-analytics/ # Event-driven analytics and real-time ingestion
├── healthcare-data-platform/ # Secure healthcare data ingestion and analytics
├── iot-sensor-analytics/ # IoT edge-to-cloud telemetry analytics
├── retail-analytics-platform/ # Serverless retail data lake and BI dashboards
├── architecture-diagrams/ # PNG / draw.io / PDF visuals for all projects
├── finops/ # Cost management and tagging strategy
└── README.md # (this file)