DevOps & Cloud Engineer · Data Engineer B.Tech CSE (IoT) · MLVTEC · India · he/him
I build infrastructure. Not tutorial clones — working, deployed systems across cloud, containers, CI/CD, observability, and data engineering.
Currently focused on production-grade DevOps and IoT engineering. I completed cloud-ops, a self-directed 8-phase DevOps roadmap covering the full stack from Linux to Grafana, and shipped NexusIoT, a production-grade Industrial IoT platform with MQTT, Kafka, TimescaleDB, Kubernetes, and SHAP-based anomaly detection.
Open to remote DevOps internships where I can contribute real infrastructure work.
| Area | Technologies |
|---|---|
| Cloud | AWS — EC2, S3, IAM, VPC |
| Infrastructure as Code | Terraform |
| Containers & Orchestration | Docker, Kubernetes |
| CI/CD | GitHub Actions |
| Streaming & IoT | MQTT, Apache Kafka |
| Databases | PostgreSQL, TimescaleDB |
| Observability | Prometheus, Grafana |
| Languages | Python, Bash |
| OS | Linux |
| Data & Visualization | Streamlit |
Production-grade Industrial IoT platform built with a full microservices architecture.
- IoT device simulators publish telemetry via MQTT to a Mosquitto broker
- A bridge service streams data into Apache Kafka for real-time processing
- A processor service applies SHAP anomaly detection and persists to TimescaleDB
- FastAPI + WebSocket backend exposes real-time REST and streaming endpoints
- Prometheus + Grafana for full metrics and dashboards
- Deployed on Kubernetes, infrastructure provisioned with Terraform
Python MQTT Kafka TimescaleDB FastAPI Kubernetes Terraform Prometheus Grafana Docker
Self-directed 8-phase DevOps roadmap — all phases complete.
| Phase | Topic | Status |
|---|---|---|
| 1 | Linux & Bash Scripting | ✅ |
| 2 | Docker & Containerization | ✅ |
| 3 | GitHub Actions CI/CD | ✅ |
| 4 | AWS — EC2, S3, IAM, VPC | ✅ |
| 5 | Terraform | ✅ |
| 6 | Kubernetes | ✅ |
| 7 | Prometheus | ✅ |
| 8 | Grafana | ✅ |
CI pipeline passes on every push.
Python Bash Docker AWS Terraform Kubernetes GitHub Actions
Real-time ETL pipeline for crypto market data.
- Fetches live BTC, ETH, and SOL prices via the CoinGecko API
- Ingests and stores data in PostgreSQL using psycopg2 batch inserts
- Visualised through an interactive Streamlit dashboard
- All three services containerized with Docker on a shared bridge network
- Single command startup via
start_pipeline.sh
Python Docker PostgreSQL Streamlit Bash
| Event | Result |
|---|---|
| SU Hackathon 2026 — 50+ teams, 7 states | 🥈 Runner-Up |
| CreateX 2024 | 🏆 1st Place |
- Email: aaryandadhich2006@gmail.com
- LinkedIn: linkedin.com/in/mrdadhich456
- GitHub: github.com/MrDadhich456
- Availability: Open to remote DevOps internships · Response within 24 hours