Freelancers using Databricks in MadridFreelancers using Databricks in Madrid
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HAMZA EL QADIRI's avatar
HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
Data Engineering & AI,
Cover image for Azure Data Pipeline for E-commerce
Azure Data Pipeline for E-commerce Analytics : E-commerce teams drown in raw sales CSVs and scattered APIs—while revenue leaks hide in untracked product returns and regional stock-outs. I built a cloud-native, end-to-end analytics pipeline that turns chaotic transactional data into sub-minute Power BI insights, letting merchandisers act on trends before they become costly mistakes.
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Cover image for The AI-Powered Modern Data Platform
The AI-Powered Modern Data Platform for E-Commerce is a cutting-edge solution that bridges the gap between complex data infrastructure and business users. This project combines a robust modern data stack with advanced AI capabilities, enabling natural language analytics over an enterprise-grade E-Commerce Data Warehouse. By leveraging Artificial Intelligence, Large Language Models, and Retrieval-Augmented Generation (RAG), this platform empowers business users to ask questions in natural language and receive actionable insights.
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Cover image for Sales & Customer Dashboard: Unlocking
Sales & Customer Dashboard: Unlocking Insights with Tableau Analyzing sales performance and customer behavior is crucial for businesses to make informed decisions. The Sales & Customer Dashboard is designed to provide stakeholders with a comprehensive overview of sales metrics, trends, and customer insights. By leveraging Tableau's data visualization capabilities, this dashboard empowers sales managers, executives, and marketing teams to identify areas of improvement, optimize strategies, and drive growth.
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Cover image for Spotify Loader Benchmark The Spotify Loader Benchmark is
Spotify Loader Benchmark The Spotify Loader Benchmark is a comprehensive framework for evaluating different data loading strategies on the Spotify dataset, providing insights into the performance of various loading mechanisms. By comparing sequential, vectorized, multithreaded, raw SQL, Celery-based, and Flink-based loaders, this project helps developers optimize their data loading processes. With its robust architecture and flexible design, the Spotify Loader Benchmark is an essential tool for anyone working with large datasets.
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Databricks(1)