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Rudresh99/README.md

Hi there,

I'm Rudresh Joshi 👋

Data Engineer

Python | SQL | PySpark | AWS | DBT | Snowflake | Databricks

I'm a Data Engineer with 5+ years of experience designing and building scalable data pipelines, modern data platforms, and analytics solutions. I enjoy transforming raw data into reliable, business-ready insights by leveraging cloud technologies, distributed computing, and best practices in data engineering.

I actively build real-world projects to strengthen my expertise in ETL development, data warehousing, orchestration, cloud platforms, and big data technologies.

🚀 About Me

  • 💼 Data Engineer with 5+ years of industry experience
  • 🐍 Strong in Python, SQL, and PySpark
  • ☁️ Experienced with AWS, Snowflake, Redshift, and Airflow
  • 📊 Passionate about Data Engineering, Data Warehousing, and Analytics
  • 🌱 Continuously learning modern Data Engineering tools and architectures
  • 🎯 Currently building production-style Data Engineering projects

🛠️ Tech Stack

Programming Languages

  • Python
  • SQL

Data Engineering

  • ETL Development
  • Data Warehousing
  • Data Modeling
  • Apache Spark
  • PySpark
  • dbt
  • Apache Airflow

Cloud & Databases

  • AWS S3
  • AWS Glue
  • Amazon Redshift
  • Snowflake
  • SQLite
  • MySQL

Libraries & Tools

  • Pandas
  • BeautifulSoup
  • SQLAlchemy
  • Git
  • GitHub
  • VS Code

AI Tools

  • Cursor
  • github co-pilot
  • Claude Opus 4.0
  • Chat GPT

📂 Featured Projects

📦 SQL Data Warehouse

A modern Data Warehouse built using Medallion Architecture with Bronze, Silver, and Gold layers.

Tech Stack: SQL • Data Modeling • ETL • Analytics

📊 SQL Analytics Repository

A comprehensive collection of SQL scripts covering:

  • Database Exploration
  • Measures & KPIs
  • Time-Series Analysis
  • Window Functions
  • Segmentation
  • Cumulative Analytics
  • Part-to-Whole Analysis

📚 Books ETL Pipeline

An end-to-end ETL pipeline that:

  • Scrapes book data
  • Cleans and transforms datasets
  • Loads data into SQLite & Parquet
  • Visualizes insights with Streamlit

Tech Stack: Python • BeautifulSoup • Pandas • SQLite • Streamlit

🎯 Currently Learning

  • Apache Kafka
  • Docker
  • Kubernetes
  • CI/CD for Data Engineering
  • Apache Iceberg
  • Delta Lake
  • Databricks
  • Advanced AWS Data Services

📈 GitHub Goals

  • Build production-ready Data Engineering projects
  • Share reusable SQL solutions
  • Explore modern Data Stack tools
  • Contribute to open-source projects
  • Document best practices for ETL and Analytics Engineering

📫 Connect With Me

"Turning raw data into reliable insights through scalable data engineering solutions."

Pinned Loading

  1. SQL_DataWarehouse_Analytics_Project SQL_DataWarehouse_Analytics_Project Public

    Building a modern data warehouse using Medallion Architecture with MySQL Workbench , including ETL Process, data modelling, and analytics.

    TSQL

  2. ETL_Book_Data_Scrape_Project ETL_Book_Data_Scrape_Project Public

    End-to-end ETL pipeline built with Python, featuring web scraping, data processing, database storage, and an interactive Streamlit dashboard for book data analysis.

    Python