Data Engineering Projects in Spain
Data Engineering Projects in Spain
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Arnau Sastre
pro
Multi-Horizon Demand Forecasting Designed and implemented a multi-horizon demand forecasting system for an e-commerce business to improve inventory planning and operational decision-making. The solution generated forecasts across multiple planning horizons while automating forecasting workflows and scenario analysis. This enabled business teams to make more informed purchasing and inventory decisions while reducing manual forecasting efforts.
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20
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Kai Relaunch Dept
SchemaShield — Evidence-First Schema Change Preflight
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Valera Camfrae
SHOWREEL 2023
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3
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HAMZA EL QADIRI
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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15
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Juan Brekes
Invoice Parsing System using Google Document AI and BigQuery
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26
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Gonzalo Franco
Lead Engineer, eth-roulette.com
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9
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Miguel J. Garrido
Digit Recognition with ML
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9
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Will Danckwerts
Data Engineering for a Sustainability-Focused Startup
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5
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Francisco Belenguer Vicente
Data and Software Engineer Consultant
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3
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Mohamed Boudra
Chainsauce - Node.js Ethereum Indexer
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2
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HAMZA EL QADIRI
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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48
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Juan Brekes
Web Scrapping and Alert System With AWS and Airflow
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16
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Miguel J. Garrido
LANGUAGE TRANSLATION USING SEQ2SEQ LEARNING
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6
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Francisco Belenguer Vicente
Data and Software Engineer Consultant
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2
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HAMZA EL QADIRI
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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51
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Miguel J. Garrido
Movie Retrieval System using NLP Models
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11
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