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Built a scalable data pipeline for Francine Stores, enabling them to extract, clean, and load data from Aliexpress for real-time market trend analysis and smarter business decisions.

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Francine_store

Project overview

● Francine Stores, a laptop vendor on Aliexpress, aims to analyze product brand trends on the platform to better understand market demands. They require a data engineer to scrape, transform, and load Aliexpress data into their database for advanced analysis.

Business Problem

● The main challenge is extracting accurate and current data from Aliexpress, which is dynamic and complex due to its large scale and frequent updates.

Objectives

● To develop a scalable and robust system that periodically extracts data from Aliexpress, ensuring the data is clean, well-structured, and updated.

Benefits

  1. Market Insight: Understand real-time market trends and consumer preferences.

  2. Strategic Decisions: Data-driven strategies for stock management and marketing.

  3. Competitive Advantage: Staying ahead by leveraging up-to-date data.

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Built a scalable data pipeline for Francine Stores, enabling them to extract, clean, and load data from Aliexpress for real-time market trend analysis and smarter business decisions.

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