A library for data warehouse and data integration pattern and architecture documentation.

This is a PHP project which combines ETL with different strategies to extract data from multiple databases, files, and services, transform it and load it into multiple destinations.

The project covers the complete data pipeline—from importing data from an RDS source to HDFS using Sqoop, processing data with Spark, to executing analytical queries on an AWS Redshift cluster.

This project is a specialized Library Management System (LMS) built using MYSQL as the backend database. The database schema is designed to ensure data integrity and consistency, with tables storing information about users, books, transactions, staff.

The Global Heatwave Warning Systems Analysis Project was an initiative to develop an advanced warning system for heatwaves worldwide. It involved extracting and analyzing complex meteorological data to predict heatwave occurrences, thereby aiding in timely and effective response strategies for affected regions.

Data analysis project combining Python and SQL to clean, query, and analyze jewelry sales data. Demonstrates skills in data preprocessing with Pandas, writing advanced SQL queries (joins, aggregations, subqueries), and optimizing database performance with indexes and views.

Hands-On Introduction: Data Engineering Project provides practical experience in building data pipelines, managing large datasets, and integrating tools for efficient data processing. It focuses on hands-on skills development for real-world data engineering challenges.

Parts-Unlimited (EV Expansion)is a key project aimed at enhancing the company's capabilities in the Electric Vehicle (EV) sector. It involved designing and implementing a data warehouse using advanced ETL processes to accommodate the dynamic data requirements of the EV expansion initiative.