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dipeshluitel/README.md

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$ whoami

name       : Dipesh Luitel
role       : Aspiring Data Engineer
location   : Jhapa, Nepal 🇳🇵
education  : BSc CSIT — Tribhuvan University (2022–2026)
focus      : ETL Pipelines · Data Warehousing · Stream Processing
status     : Open to entry-level Data Engineer roles ✅

"I don't just query data — I architect the systems that make data trustworthy, fast, and usable."

⚙️ The Stack I'm Building With

Core Data Engineering

Apache Kafka Apache Airflow PostgreSQL

Languages & Processing

Python SQL Pandas NumPy

Databases & Storage

MS SQL Server MySQL SQLite

Visualization & BI

Power BI Jupyter

Dev & Tooling

Git Linux VS Code Django

🗺️ Data Engineering Roadmap

INGEST ──────────────► TRANSFORM ──────────────► WAREHOUSE ──────────────► SERVE
   │                       │                          │                       │
Apache Kafka           Airflow DAGs              PostgreSQL              Power BI
Raw Sources            Python + Pandas           Data Modeling           Dashboards
REST APIs              dbt transforms            SQL Window Fns          Reporting

Where I am right now:

  • ✅ Advanced SQL — window functions, CTEs, query optimization
  • ✅ Python for data — Pandas, NumPy, data transformation scripting
  • ✅ ETL concepts — pipeline design, data modeling, normalization
  • 🔄 Apache Airflow — DAG design and workflow orchestration (in progress)
  • 🔄 Apache Kafka — consumer/producer patterns, stream processing (in progress)
  • 📌 Cloud (AWS S3 / BigQuery) — next on the list

📊 GitHub Stats



GitHub Activity Graph

🤝 Let's Connect

I'm actively looking for entry-level Data Engineer or Data Analyst roles.
If you're hiring, collaborating, or just want to talk data — reach out.

LinkedIn Email Portfolio

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  1. SQL-Data-Warehouse-Project SQL-Data-Warehouse-Project Public

    Modern Data Warehouse with SQL Server, including ETL processes, Data modeling and Analytics.

    TSQL 1

  2. customer-behaviour-analysis-PowerBI customer-behaviour-analysis-PowerBI Public

    Focus on generating insights on Behaviour patern of customer and visualization of the insights in a interactive dashboard that can be understood by both technical and non technical stake holders.

    Jupyter Notebook 1

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    A real-time cryptocurrency data pipeline built with Apache Kafka, Python, and Docker.

    Python 1

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    Python

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    URL Shortener lets you generate short link for your orginal link and lets you redirect to orginal link, it stores links independently for different users and let you keep track of creation and let …

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