I am a Senior Reliability Engineer with 30+ years of experience in heavy industry. I specialize in the convergence of Operations Technology (OT) and Information Technology (IT).
My focus is bridging the gap between physical machinery and data-driven insights through:
- ποΈ IIoT Architecture: Prototyping industrial data pipelines from sensor to dashboard.
- βΈοΈ Cloud-Native Infrastructure: Orchestrating bare-metal Kubernetes (K3s) for high-availability industrial apps.
- π Predictive Analytics: Leveraging a Post-Grad in Data Science to turn vibration and sensor data into reliability KPIs.
My Philosophy: I don't just monitor assets; I build the infrastructure that makes assets talk.
A full-stack solution for industrial procurement workflows.
- Backend: Python (Flask) with Email Authentication.
- Database: PostgreSQL managed via CloudNativePG (3-node cluster for high availability).
- Orchestration: Deployed as 3 replicas on a bare-metal K3s cluster.
- Connectivity: Secure access via Cloudflare Tunnels.
| Category | Tools & Technologies | Proficiency |
|---|---|---|
| Infrastructure | Proxmox VE, Kubernetes (K3s), Docker, Rancher | Expert |
| IIoT Stack | HiveMQ (MQTT), Node-RED, LoRaWAN, ESP32 | Expert |
| Data & Integration | Python, InfluxDB, PostgreSQL, CloudNativePG, n8n | Advanced |
| Visualization | Grafana, Streamlit, PowerApps | Advanced |
| Reliability | Vibration Analysis, Laser Alignment, Predictive Maintenance | Expert |
- LinkedIn: joseangelcedeno
- Web: GeekendZone
