Freelance Data Engineers in Spain
Freelance Data Engineers in Spain
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HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
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Data Engineering & AI,
0
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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34
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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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77
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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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96
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Cyber Threat Intelligence Platform, An end-to-end, high-performance, containerized cyber intrusion detection and telemetry processing platform.
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78
Data Engineer
(4)
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Miguel J. Garrido
Esplugues de Llobregat, Spain
AI & Data Solutions with Perfectionist Passion
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AI & Data Solutions with Perfectionist Passion
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Digit Recognition with ML
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13
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LANGUAGE TRANSLATION USING SEQ2SEQ LEARNING
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7
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Movie Retrieval System using NLP Models
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14
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Data Engineer
(3)
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Alex Andrew
pro
Barcelona, Spain
Design + Code | Branding & AI Automation
$1k+
Earned
1x
Hired
5.0
Rating
13
Followers
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Design + Code | Branding & AI Automation
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Backend & Data Platform: BigQuery, Cloud Functions, API
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0
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Cleat Warehouse — Multi-Marketplace Selling System
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8
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Espai Feilen: Social Media, Branding, Web & Content System
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0
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Short-Form Video Editing & Thumbnails for a Creator
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0
Data Engineer
(1)
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Nicolas Kobelt
Barcelona, Spain
I build the software that runs the business
New to Contra
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I build the software that runs the business
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Company Brain. Facts you can trust from several sources Problem Small teams live in chat and notes. Prices, owners, and status drift across threads — and nobody has one place that stays true. What I built Company Brain: email, meetings, and Slack feed into structured facts. When something conflicts, it lands in a simple review inbox for a quick human check — not another wiki. Result Decisions stop drifting. The team gets searchable facts with a human still in the loop; pilots start white-glove and scoped.
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64
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Quinteros Viajes — lead-to-quote hub
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1
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PermitPal — evidence-backed permitting
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1
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Biventia — client mobile for capital
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3
Data Engineer
(1)
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Kai Relaunch Dept
Madrid, Spain
AI Automation & Launch Recovery Specialist
New to Contra
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AI Automation & Launch Recovery Specialist
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SchemaShield — Evidence-First Schema Change Preflight
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11
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ScenarioReceipt: Evidence-Grounded Product UI
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9
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A schema rename passed every unit test. It still broke a revenue dashboard. The query changed from order_total to gross_amount; the schema was valid, but downstream models still expected the old field. The fix isn't another linter. Before merge, ask four questions: Which assets depend on this field? Is the change additive, rename, type change, or removal? Can we generate compatibility SQL and dbt YAML before touching production? Is there a decision receipt reviewers can reproduce? I built a bounded public replay of that workflow. Start with the CRITICAL case: it blocks a lossy decimal-to-integer change when an ML consumer sits downstream, then exposes the lineage, affected queries, compatibility artifacts, and deterministic run ID. Demo: https://schema-shield.vercel.app (https://schema-shield.vercel.app)Source/evidence: https://github.com/ceodaradigu/schema-shield What schema operation should the next fixture cover? AI-assisted analysis, reviewed before publication by RELAUNCH DEPT.
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93
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Proofline Keeper — Transaction Firewall for AI Agents
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9
Data Engineer
(1)
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Juan Brekes
A Coruña, Spain
Lead Data Analyst. Data Engineering and Visualization Expert
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Lead Data Analyst. Data Engineering and Visualization Expert
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Web Scrapping and Alert System With AWS and Airflow
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23
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Invoice Parsing System using Google Document AI and BigQuery
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33
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Real Estate Investing Dashboard
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30
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Google Sheets Report Automation
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20
Data Engineer
(2)
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Dominic Plaza
Barcelona, Spain
I build to understand. I design to feel.
New to Contra
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I build to understand. I design to feel.
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Hublot Digital Boutique
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2
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Random
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1
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Design & Exploration
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2
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Calibration
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1
Data Engineer
(1)
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Gonzalo Franco
Spain
Software Engineer: Building Awesome Webs Apps & Products
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Software Engineer: Building Awesome Webs Apps & Products
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Lead Engineer, eth-roulette.com
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9
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CTO, OpenBroker.com
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30
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CTO, Subletny.com
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28
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Product Manager, Full-stack Engineer, CleanHero
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19
Data Engineer
(1)
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