
Amber Gillani
Level 2
Python Web Scraping, Audio Transcription
Kompetenzen

Meine Dienstleistungen


Portfolio
Arbeitserfahrung
Data Engineer
ScrapeWeb Inc. • Vollzeit
Dec 2022 - Present • 3 yrs 10 mos
Scalable Architecture: Designed and maintained 50+ automated ETL pipelines, processing over 15 million records monthly across various industries (Automotive, Real Estate, and E-commerce). Anti-Bot Navigation: Expert in bypassing complex security (Cloudflare, Akamai, CAPTCHAs) using advanced Selenium, Scrapy, and residential proxy rotation. Data Integrity: Implemented automated validation scripts that reduced data entry errors by 35%, ensuring 99.9% accuracy in vehicle fitment and pricing databases. Performance Optimization: Refactored legacy Python scripts to utilize multi-threading and asynchronous processing (Asyncio), cutting data collection time by 60%. Database Management: Architected relational schemas in PostgreSQL and MongoDB to handle complex nested data (like OEM vs. optional tire sizes) for high-traffic retail platforms.
136 Bewertungen
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Zusammensetzung der Bewertung
- Kommunikation
- Qualität der Lieferung
- Preis-Leistungs-Verhältnis der Lieferung
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quinndelion

Vereinigte Staaten
Quick to deliver, communicative, and a pleasure to work with. She delivered very clean, clear, professional work that exceeded expectations. Will be coming back for any future transcribing services!
bambam1

Australien
This was my first time using data scraping, and Amber delivered exactly what I asked of her. I would definitely use this Fiverr freelancer again for other projects in the future, and I can recommend her for your own projects and assignments.
keithcooper899

Vereinigte Staaten
I've worked with Amber several times, she continually exceeds my expectations. I've used several other vendors previously and would highly recommend anyone considering transcription services to contact her. She goes above and beyond. I'll absolutely be sending more work to Amber.
barckly12

Kanada
Really happy with the transcription. The conversation was transcribed accurately and the timestamps made it really easy to follow and find specific parts of the call.
dylantran730

Großbritannien

