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