This project showcases a solo end-to-end Data Engineering pipeline built on Microsoft Azure and Power BI. The focus was on analyzing the Top 50 Global Companies by Revenue, starting from raw data collection to a fully interactive BI dashboard.
Cloud-native data pipeline for crawling multi-platform social media data, executing BigQuery Medallion transformations (Bronze/Silver/Gold), and serving ML/DL sentiment analytics.
Cloud Data Pipeline Capstone: end-to-end ETL, storage, and analytics on AWS.
End-to-end ETL pipeline for YouTube trending video data using AWS services like S3, Lambda, Glue, Athena, and QuickSight.
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