End-to-End Data Engineering Pipeline: IDX Partners Final Project

https://github.com/adrn-mm/FinalTask_IDX-Partners_DE_Adrian-Maulana-Muhammad

In today’s data-driven ecosystem, organizations collect vast amounts of raw data daily. However, without a robust infrastructure to clean, process, and structure this data, it remains virtually unusable.

This project serves as my Final Task for the IDX Partners Data Engineering program. The primary objective was to design, build, and deploy a fully automated, end-to-end data pipeline capable of extracting raw datasets, transforming them into a structured format, and loading them into a centralized Data Warehouse for downstream analytics and Business Intelligence (BI) reporting.

By building this pipeline, I successfully bridged the gap between fragmented raw data and actionable business insights, demonstrating a complete understanding of the modern data engineering lifecycle.