Welcome! This repository holds my projects work related to the company from DataMonk. The learning paths help me structure my learning & showcase my progress. Hopefully this helps anyone reviewing my profile understand what I’ve been working on and where I’m headed.
DataMonk is a learning platform offering structured learning paths (“Paths”) in cutting-edge tech domains. Each path contains one or more courses. Key paths include:
| Path | What you learn |
|---|---|
| Foundations | Essentials: tools & concepts you need before diving into advanced topics. |
| Gen AI (In progress) | Building agentic Retrieval-Augmented Generation (RAG) applications with OpenAI, LangChain, LangGraph; with fundamentals in FastAPI and Pydantic. |
| Data Engineering | Learning from Python basics to distributed data systems with real-world tools used by data engineers. |
| DevOps | Deployment, cloud infrastructure, automation (GitHub Actions, Terraform, Ansible, Kubernetes), scaling apps. |
Source: DataMonk All Paths
(Use or modify this table to show where you are in each path.)
| Path | Goals / Projects | Status |
|---|---|---|
| Foundations | A hands-on introduction to all of the essential tools you'll need to build real, working websites. | Completed |
| Data Engineering | Set up ETL pipelines; work with Kafka / Spark / Databases | In progress |
Here’s how I organize my work in this repo:
Datamonk-internship_projects/
├── Foundation/
├── Data_eng/
- I want to demonstrate continuous learning.
- I want to work on real-world projects.
- Linux, Version control, documentation & structuring help me (and reviewers) see my growth over time.
- Browse “ my repository” folders.
- Check out projects/exercises for code samples.
- Look at issues/PRs to see problem-solving progress.
- LinkedIn: Unique Jain
🙌 Thanks for visiting!