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Achievement: YOLOAchievement: Pull SharkAchievement: Quickdraw

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kishorsenthilkumar/README.md

Kishorsenthilkumar / README.md

        ___________________________          kishor@devbox
       /                           \         -------------
      |   $ git commit -m "fix"    |         OS: ................ Windows 11 + WSL2 (Ubuntu)
      |   $ pytest --cov           |         Host: ............... Ryzen 7, RTX 3050, 16GB RAM
      |   ______________________   |         Uptime: .............. Fresher DE, building daily
      |  |                      |  |         Kernel: ............. Linux 5.15 (WSL2)
      |  |   </>  DATA  ETL     |  |         IDE: ................ Cursor, Jupyter, Terminal
      |  |                      |  |         
      |  |______________________|  |         Languages.Programming: Python, SQL, PySpark
      |                            |         Languages.Tools: ..... dbt, Airflow, Spark, Kafka
       \___________________________/         Languages.Real: ...... Tamil, English
        \_________________________/          
         \_______________________/           Hobbies.Data: ........ Chess Analytics (Lichess)
      ___|_________________________|___      Hobbies.Creative: .... 3D Art (Blender)
     /                                  \    
    |___________________________________|    --- Contact ---
                                             Email: ... kishorsenthilkumar104@gmail.com
                                             LinkedIn: linkedin.com/in/kishor-s-5b4332274
                                             GitHub: .. github.com/Kishorsenthilkumar
                                             Lichess: . lichess.org/@/kishorsenthilkumar

👨‍💻 About Me

Fresher Data Engineer from Tamil Nadu, India — learning by building real, end-to-end
systems rather than tutorials. Philosophy: go deep on one tool at a time, not broad.

- 🔭 Currently deep in the **modern data stack** — Databricks, dbt, Airflow, Kafka, Delta Lake - ♟️ Built a full **chess analytics pipeline** on my own Lichess games (Databricks + dbt + Stockfish + local LLM coaching) - 🎨 When I'm not writing pipelines, I'm modeling in **Blender** - 🖥️ Everything runs on my own rig — WSL2, Ryzen 7, RTX 3050 - 🧠 I type every line myself. No copy-paste, no shortcuts — just reps. ---

🛠️ Tech Stack

---

🚀 Featured Project

♟️ Chess Analytics Pipeline

Lichess API → Databricks (Unity Catalog, Delta Lake, Spark) → dbt Gold models → Stockfish 16 evaluation → Llama 3.1 coaching layer → orchestrated on Airflow

Real personal game data, real engine analysis, real AI-generated coaching — built entirely from scratch.

📊 GitHub Stats

 

---

Building scalable data systems · Deep over broad · One repo at a time

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  1. DE-IOT-heavymachinary-monitoring DE-IOT-heavymachinary-monitoring Public

    Mirrors the architecture used by Hitachi Lumada, Bosch Connected Industry, and Siemens MindSphere for real-time heavy machinery damage detection.

    Python

  2. real-estate-lakehouse-pipeline real-estate-lakehouse-pipeline Public

    End-to-end data engineering pipeline that collects real estate listings, stores raw data in Azure Data Lake, processes it with Spark and Delta Lake, and detects property price changes using histori…

    Jupyter Notebook 1

  3. SalesPulse SalesPulse Public

    Forked from dataeng-begineers/SalesPulse

    Supermarket sale and stock data management project for ETL and Real-Time Analytics.

    Python

  4. Building-Redis Building-Redis Public

    building own cache+streamingengine+DB

    Python

  5. MySQL-Scaling-POC MySQL-Scaling-POC Public

    added proxysql for cache and vertical sharding for r/w

    Python