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Iamnikhilesh/README.md

💫 About Me:

Hi, I’m Nikhilesh — an aspiring Data Engineer focused on building scalable data pipelines and data-driven systems.

I have hands-on experience with Azure Data Factory, Databricks, PySpark, and SQL, building end-to-end ETL pipelines processing millions of records. My work includes implementing Medallion Architecture (Bronze, Silver, Gold) and optimizing query performance.

I also have a strong foundation in Python (Django) and data warehousing concepts like Star Schema, fact and dimension modeling.

🔹 Currently focused on:

  • Building real-world data engineering projects
  • Strengthening PySpark & Azure skills
  • Optimizing large-scale data processing

💡 I enjoy solving data problems and turning raw data into structured, actionable insights.

🌐 Socials:

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🚀 Featured Projects

🔹 Azure Data Engineering Pipeline

  • Built end-to-end ETL pipeline using ADF, Databricks, ADLS & Synapse
  • Processed 5M+ records
  • Implemented Medallion Architecture
  • Improved pipeline performance by 30%

🔹 Retail Data Warehouse

  • Designed Star Schema (Fact & Dimension tables)
  • Optimized SQL queries improving performance by 40%

🔹 PySpark Data Processing

  • Built scalable data transformation pipelines
  • Performed large-scale aggregations and optimizations

🔹 SQL Performance Optimization

  • Improved query efficiency using indexing & execution plans
  • Compared raw vs optimized queries

💻 Tech Stack:

Data Engineering: PySpark, Databricks, Azure Data Factory, ADLS, Synapse
Programming: Python, SQL
Databases: MySQL, SQL Server
Tools: Git, Power BI, Jupyter Notebook
Web (Basic): Django, HTML, CSS

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