Modern serverless lakehouse implementing HOOK methodology, Unified Star Schema (USS), and Analytical Data Storage System (ADSS) principles on Adventure Works. Features programmatic model generation, event-enhanced Puppini bridges, and temporal resolution across DAS/DAB/DAR layers.

• Updated Mar 31, 2025
• Python

Analysis of New York State Police Department Arrests dataset. Created Dimensional Model for the provided dataset. Using Alteryx and Talend, built ETL pipelines to process, clean the data and create dimensions and facts in the destination database. Further, visualized the necessary details of the database using Tableau and PowerBI.

• Updated Sep 19, 2022

This repository is a place for the Data Warehousing course at the Information Systems & Analytics department, Santa Clara University.

• Updated Mar 12, 2026
• Jupyter Notebook

• Updated Apr 3, 2025
• TXL

Syracuse University, Masters of Applied Data Science - IST 722 Data Warehouse

• Updated Mar 24, 2020
• TSQL

Designed a multi-dimensional data model using LucidChart. Developed ELT pipeline using Python/Pandas. S&P 500 data obtained via yfinance, an open-source library. Output normalized data to excel. Performed analysis and generated reports with Power BI.

• Updated Jul 7, 2023
• Python

DW de e-commerce (Kimball/Star Schema) em SQL Server, com scripts, dados sinteticos e docs para estudos.

• Updated Mar 2, 2026
• Python

This project demonstrates an ETL pipeline that processes NOAA's fishing survey data, then makes it available for analysis through an interactive web app.

• Updated Feb 19, 2025
• Python

This repository contains the end-to-end pipeline for building a data warehouse for a real estate management company. The pipeline includes data generation, ETL process, creation of star schema dimensions and fact table, visualization using Power BI, and automation with Pabbly Connect.

• Updated Jun 1, 2024
• Jupyter Notebook

Dimensional Data Design

• Updated May 25, 2025

2022 SCC Data Science & Analytics Workshop on Databases

• Updated Jun 9, 2022
• Jupyter Notebook

This project builds a cloud-based ETL pipeline for Sparkify to move data to a cloud data warehouse. It extracts song and user activity data from AWS S3, stages it in Redshift, and transforms it into a star-schema data model with fact and dimension tables, enabling efficient querying to answer business questions.

• Updated Sep 9, 2024
• Jupyter Notebook

Code, scripts, and resources for the Data Engineering Fundamentals Course Webinar, covering Python, data pipelines, Apache Airflow, and more.

• Updated Dec 4, 2025
• Python

A Data Warehousing project for retail sales using dimension modelling best practices with SCD type 2 on AWS Redshift. Utilizing AWS Lambda, Glue Workflows and Python Shell jobs to create and automate an ELT pipeline where batch data coming into S3 is loaded onto Redshift and necessary transformations are performed to meet requirements.

• Updated Aug 10, 2023
• Python

Source code for the Kimball-style date dimension generator dimdates.com.

• Updated Jan 6, 2024
• JavaScript

OLAP in TSQL and Python

• Updated Sep 4, 2024
• TSQL

Starts with a conceptual model ends with a Tableau interactive dash board. In between there is building ER diagrams, forward engineering to build normalized databases, dimensional data modelling and visualizations in tableau.

• Updated Feb 27, 2023
• Io

The project involves creating a data model for HNG Hire, implementing it in MySQL, and building a Power BI dashboard to display hiring statistics.

• Updated Sep 7, 2024

Data warehouse & BI system analyzing water stress across Morocco (2015-2025). 68K+ records | MySQL | QlikView | Star schema. Portfolio showcase - Proprietary.

• Updated Jan 26, 2026

This project involves creating a dimensional data model using MySQL Workbench for a car repair shop's operations in western Canada by examining a sample invoice,

• Updated Sep 8, 2024