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tranformations

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📊 I built an interactive Power BI dashboard by combining the Orders and Order Details tables to analyze overall sales performance. The dashboard includes a 🥧 pie chart for category-wise distribution, 📌 KPIs to highlight total sales and quantities, 🎛️ filter slicers for dynamic exploration, and insights into the 🏆 top 5 states.

  • Updated Sep 7, 2025

This project is an automated ETL pipeline that collects data from the dataset provided, transforms , and loads it into a warehouse for analytics. It uses tools like Apache Spark and Databricks for large-scale data processing, SQL for transformations and validation, and Airflow for scheduling and orchestration.

  • Updated May 22, 2026

Hands-on Microsoft Fabric project demonstrating end-to-end data analysis with Apache Spark—covering data ingestion, transformation with PySpark, Parquet storage, Delta tables, SQL querying, and visualization using matplotlib and seaborn.

  • Updated Apr 21, 2026

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