Data Engineer Consultant
Current- Client: 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.
- Developed a robust Python script to scrape over 1.5 million watch images, which continues to scrape thousands of images daily.