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.

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

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

2022 SCC Data Science & Analytics Workshop on Databases

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.

Developed a robust ETL pipeline for Next Cola Pvt. Ltd data which extracts data from many different OLTP sources, converts them into dimensions and facts and load into datawarehouse for analytical workload.

An examination of a dataset collecting data from food inspections conducted at several Boston restaurants.

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.

Case Study SQL Reporting

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.

Dimensional Data Design

Project involves merging customer reviews from Fudgemart and FudgeFlix to create a unified data warehouse using Kimball's approach. Utilizing Power BI, it aims to extract actionable insights for Fudge Inc., guiding strategic decisions, product enhancements, and market expansion based on comprehensive business intelligence.

creating a data warehouse for a football game management company and some SQL queries to analyse data.

Design and develop a dimensional data model for University Student Degree Program Enrollment and Performance using data modeling tool Dataedo

Analytics Engineering with dbt on Bigquery. This project implements the use of Analytics Engineering Best practices to build a dimensional data model, using dbt (data build tool) and BigQuery.

Analysis of a dataset containing information collected on food inspection done at various restaurants in Dallas.

ELT and Dimensional Modeling on AWS Redshift

Creating erd using MySQL Workbench, Forward engineering, Dimensional data model, Tableau visualisation