Freelance Data Engineers in Madrid
Freelance Data Engineers in Madrid
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HAMZA EL QADIRI
Madrid, Spain
Data Engineering & AI,
New to Contra
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Data Engineering & AI,
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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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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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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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José Ángel Olivares
Madrid, Spain
Product Engineer | AI, Data Automation & Secure Platforms
New to Contra
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Product Engineer | AI, Data Automation & Secure Platforms
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Traceable Data Pipeline | Evidence & Alerts
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1
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GMI | Market Intelligence & Decision Support
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0
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Observatorio Cívico | Traceable Public Data Platform
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1
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Global SID | Distributed Integrity Verification
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1
Data Engineer
(3)
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Cristhian Velasquez
Madrid, Spain
GA4/GTM measurement & server-side, from tracking to insight
New to Contra
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GA4/GTM measurement & server-side, from tracking to insight
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Consent Mode v2 audit on a fashion eCommerce: 154 tags reviewed, gates added to 15 server-side tags. Zero personal data sent without consent before go-live.
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25
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Built the AI-traffic measurement layer on my own site: correct GA4 capture of ChatGPT/Perplexity referrals, LLM crawler segmentation (GPTBot, OAI-SearchBot, PerplexityBot) and a BigQuery attribution pipeline connecting cited prompts to sessions. The exact method I deploy for clients.
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18
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Floodlight recording zero conversions despite confirmed traffic (automotive): identified 4 simultaneous causes, fixed the pixel and sequencing, validated in Preview.
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18
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GTM container migration for a hotel-distribution provider without breaking measurement: 177→102 variables, 21→7 tags, no broken references, legacy Universal Analytics retired.
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30
Data Engineer
(1)
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Spyros Mavroforos
Madrid, Spain
Data Engineer | Azure & Power BI Expert Developer
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Data Engineer | Azure & Power BI Expert Developer
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Power BI Analytics
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3
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Adhoc ETL / Power BI / Azure Troubleshooting
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1
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Innovative Data Warehousing Implementation
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3
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Data Engineer
(3)
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Sebastiaan Wiechers
Madrid, Spain
Data Engineering & Fullstack Expert 🚀
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Data Engineering & Fullstack Expert 🚀
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Development of a custom ETL solution
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8
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Retrieval Augmented Generation (RAG) LLM Chatbot
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22
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Development of an AI-powered product configurator
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10
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Data Engineer
(1)
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Bernadett Remenyfy-Kiser
Spain
Let's unlock data-driven decision making together!
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Let's unlock data-driven decision making together!
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Building a unified datawarehouse
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8
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Data-driven marketing strategy
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10
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Mobile game launch data flow setup (android, iOS)
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7
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Building data-driven culture
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3
Data Engineer
(1)
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