SQL-Data-Analytis-Project

A comprehensive collection of SQL scripts for data exploration, analytics, and reporting. These scripts cover various analyses such as database exploration, measures and metrics, time-based trends, cumulative analytics, segmentation, and more. This repository contains SQL queries designed to help data analysts and BI professionals quickly explore, segment, and analyze data within a relational database. Each script focuses on a specific analytical theme and demonstrates best practices for SQL queries.

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🛡️ License

This project is licensed under the MIT License. You are free to use, modify, and share this project with proper attribution.

🌟 About Me

Hi there! I'm Mohammed Saifuddin,

🚀 What I Do

• Design and build enterprise-grade SQL Server Data Warehouses

• Implement Medallion Architecture (Bronze–Silver–Gold)

• Develop scalable analytics-ready data models

• Deliver executive & operational insights using Tableau & Power BI

• Optimize SQL, semantic models, and BI performance

  🧱 Current Focus

• SQL Server Data Warehouse using Medallion Architecture

• Data quality, validation & governance

• Performance tuning (indexes, partitions, aggregates)

• Analytics Engineering best practices

🛠️ Tech Stack

• Databases: SQL Server, Oracle, MySQL
• BI Tools: Tableau, Power BI
• Data Modeling: Star & Snowflake schemas
• ETL / Prep: SQL, Tableau Prep, Power Query (M)
• Cloud: Azure (Fundamentals)
• Languages: SQL, PL/SQL, Python
• Version Control: Git, GitHub

📌 Featured Projects

🔹 Enterprise SQL Server Data Warehouse – Medallion Architecture
🔹 Healthcare Analytics KPI Framework
🔹 SQL Performance Optimization Playbook

📫 Connect with me:

• LinkedIn: https://www.linkedin.com/in/mohammed-saifuddinbi/
• Email: saif.tab83@gmail.com