À propos de Abdelfattah
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- MERITIS - VALIUZSenior Lead Architectmai 2025 - Aujourd'hui (1 an et 1 mois)Paris, FranceLed Cloud & Data Architecture and full technical delivery of a web app for real-time Retail Media campaign monitoring and data quality validation.• Ensured data integrity by cross-checking BigQuery with Kamino API.• Designed a scalable serverless architecture with Cloud Run and Firestore.• Containerized the app with Docker and automated deployments via GitHub.• Boosted dashboard responsiveness with caching and parallel query execution.• Contributed to pre-sales by supporting sales teams in writing proposals and technical offers.Python, SQL, Streamlit, Terraform, Git, GCP (BigQuery, Cloud Run, Firestore, Artifact Registry, IAM, IAP, Pub/Sub, Functions), UV, GitHub Actions, API REST
- VINCI AIRPORTSSenior Lead Architectmai 2024 - mai 2025 (1 an)Paris, FranceLed GCP Smart Data Hub architecture for Kansai, Gatwick, and VINCI HQ, aligned with stakeholder requirements.• Designed and led data mesh architecture across 3 international airports, boosting processing efficiency by 40% and scalability by 10x.• Delivered secure, cost-optimized GCP infrastructure (Terraform, shared VPC, IAM, VPN), cutting expenses by 35%.• Built GDPR-compliant data pipelines (Cloud Storage, Composer, BigQuery, Dbt) and governed domain data products via Dataplex.• Deployed MLOps pipelines on Vertex AI for passenger flow and retail analytics.• Standardized CI/CD and DevOps practices, with DR and monitoring solutions supporting 24/7 multi-region operations.• Supported pre-sales activities by co-writing technical proposals and offer documents with the sales team.Python, SQL, Dbt, Terraform, Git, GCP (BigQuery, Composer, Vertex AI, GKE, IAM, VPC, Pub/Sub, Storage, Functions, Logging, Monitoring), UV, Poetry
- MISSION LE GALECTech Leadoctobre 2022 - mai 2024 (1 an et 7 mois)Paris, FranceMigrated retail DWH from Netezza to GCP using Kimball model (sales, inventory, customers).• Designed star schemas and Dbt models (SQL, Jinja) for retail analytics: sales, inventory, product affinity, store performance.• Orchestrated daily pipelines (POS, inventory, loyalty) with Cloud Composer and built real-time flows via Pub/Sub and Cloud Functions.• Delivered data marts for merchandising, supply chain, marketing, and finance use cases.• Enforced data quality with Dbt tests on critical KPIs (sales, stock, pricing).• Secured multi-tenant access
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Formations
- Mastère Spécialisé Big Data et intelligence artificielleTélécom Paris2020Distributed Systems & Algorithms, Data Engineering & Big Data Ecosystem, Big Data Security, Cloud Computing, SQL & NoSQL Databases, Knowledge Graphs & Semantic Web, Advanced Machine Learning & Statistics, Visualization, Internet of Things, Internet Economics, Personal Data Law.