Data Engineer Consultant
CurrentClient: A luxury watches research platform and listings aggregatorRole: Data EngineerTechnologies used: AWS, Python, SQL (PostgreSQL), Airflow• Translated into code, the client’s description for calculating key performance metrics of luxury watches, aimed at providing market insights for watch collectors and investors.• Currently creating an automated workflow to: - Continuously enrich a dataset tracking pricing data for over 200 watch brands and 2,000 individual watch models, drawing data from 20+ different sources. - Calculate and update key performance metrics using the enriched pricing data.• Developed a robust Python script to scrape over 1.5 million watch images, which continues to scrape thousands of images daily.