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