Freelancer profile translated to English.
Back to original languageAbout Ilyasse
Certified Google Cloud Professional Data Engineer and graduate of ENSEEIHT, I design robust data pipelines and cloud architectures that generate concrete business impact. I replaced an external tool costing several hundred thousand euros per year with a GCP solution developed from scratch, and optimized BigQuery queries generating several thousand euros in annual savings for a large group in the Luxury sector.
Available in full remote or in Toulouse and Paris.
What I bring concretely to my clients:
Design and industrialization of E2E pipelines on GCP (BigQuery, Cloud Functions, Cloud Workflows) — from defining the need to going live.
Migration from Azure cloud to GCP with automated tests, data lineage, and complete traceability via CI/CD.
Analytical dashboards and business value data products for finance, sales, and management teams.
Passionate about generative AI and autonomous agents — I am actively building projects on LLMs, RAG, and agentic architectures.
Responsive (response time < 1h), autonomous, and results-oriented. Every mission I accept, I treat it as if it were my own product.
French
Native or bilingual
English
Fluent
Can work on-site
Toulouse (up to 50km)
Experience
- PUIGCloud Data EngineerLUXURY GOODSMarch 2025 - Today (1 year and 5 months)Within an Agile Product Team at VISEO, I am involved in the migration and industrialization of cloud data pipelines for a large group in the Luxury sector.Azure → GCP Migration: Design and implementation of analytical pipelines in BigQuery, with automated SQL tests and documented consistency checks. Optimization of BigQuery costs generating several thousand euros in annual savings. Development from scratch of an internal solution replacing an external tool costing several hundred thousand euros per year. Daily monitoring of workflows on Azure and GCP with tracking of reliability and performance indicators.Stack: GCP · BigQuery · Cloud Functions · SQL · Azure · Scrum
- OCPData EngineerOctober 2024 - January 2025 (3 months)Design of predictive ML models (KNN, Random Forest, Autoencoder) applied to industrial problems for detecting missing data on sensors.• Implementation of advanced imputation algorithms with significant improvementof dataset quality and robustness.
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Education
- Computer EngineeringENSEEIHT
- CPGEMP
Certifications
- Google Cloud Certified Professional Data EngineerGoogle Cloud2026
- English B2Cambridge University Press & Assessment logo Cambridge Linguaskill Business English2024