MotoGP Race Analytics

Tech Stack: Python, Beautiful Soup, AWS (S3, Redshift), DBT, Looker, Docker, Kafka, Perfect

• Implemented scalable data engineering pipeline with Python and AWS services (S3, Redshift) to extract, transform, and load MotoGP race results data.
• Utilized DBT for advanced data modeling and aggregation, facilitating analysis of top-performing riders, teams, and bike manufacturers by country and circuit.
• Developed interactive Looker dashboard, delivering actionable insights and comprehensive summary of historical race results, highlighting noteworthy achievements and country-specific influences.