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Achievement: Pull Shark

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SharmaVrishab/README.md

Hi there 👋, I'm Vrishab!

🌱 Aspiring Data Engineer

Currently learning the art of building robust data pipelines, ETL processes, and working with tools like Python, SQL, Spark, Airflow, and cloud platforms (AWS/GCP/Azure).

🔥 What I Love

  • Diving into new projects and experimenting with real-world data challenges
  • Transforming raw data into meaningful insights
  • Open-source contributions and collaborative coding

🛠️ Tech Stack I'm Exploring

  • Languages: Python, SQL, GO, Rust (basics)
  • Tools/Frameworks: Pandas, Numpy, PySpark, Docker, Kafka (learning)
  • Databases: PostgreSQL, MongoDB,
  • Cloud: AWS S3

📌 Pinned Projects

Check out my repositories below for data engineering experiments, pipeline builds, and personal projects!

📫 Let's Connect

Thanks for visiting! 🚀 Always open to feedback, collaborations, or project ideas.

Pinned Loading

  1. airflow-jobs-pipeline airflow-jobs-pipeline Public

    Production-style data engineering pipeline that ingests job data from an external API, stores raw JSON in PostgreSQL, and transforms it into clean relational tables using SQL.

    Python

  2. aws_scripts_for_data_enginners aws_scripts_for_data_enginners Public

    basic script for handling aws using boto3

    Python

  3. numpy-100 numpy-100 Public

    Forked from rougier/numpy-100

    100 numpy exercises (with solutions)

    Python

  4. movie-api-in-GO movie-api-in-GO Public

    A simple RESTful API built with Go (Golang) and Gorilla Mux for managing movies. This project demonstrates CRUD operations for movies, including creating, reading, updating, and deleting movies. Ea…

    Go

  5. numpy-and-pandas-for-analysis numpy-and-pandas-for-analysis Public

    This repository is my personal learning journey to master python libraries for Data Engineering.

    Jupyter Notebook

  6. sql-for-analysis sql-for-analysis Public

    This repository is my personal learning journey to master SQL for Data Engineering.

    Jupyter Notebook 1