About Uriel
Senior / Lead Data Engineer avec 11 ans d'expérience dans la conception, la construction et l'optimisation de plateformes data. J'ai travaillé dans plusieurs secteurs dont les médias, les services aux entreprises et l'hôtellerie de luxe.
J'accompagne les entreprises sur l'ensemble du cycle de vie de leurs pipelines, de l'ingestion des données sources jusqu'à leur activation business, avec une approche orientée production, robustesse et maîtrise des coûts.
Mes domaines d'expertise :
- Architecture et implémentation Snowflake, Databricks
- Pipelines temps réel et batch
- Plateformes Azure et Microsoft Fabric
- Reverse ETL et intégrations CRM
- Orchestration sur Apache Airflow et Astronomer
- CI/CD et Infrastructure as Code (Azure DevOps, Terraform, GitHub)
- Migrations de pipelines vers le cloud, modernisation de stacks legacy, refonte d'architecture
- Leadership technique, décisions d'architecture, revue de code, mentoring, coordination cross fonctionnelle avec partenaires SI, infra et métier
Stack principale :
Snowflake, Kafka, Airflow, Python, SQL, Azure, Databricks, Microsoft Fabric, Braze, Fivetran, Terraform, GitHub.
Certifié Databricks Data Engineer Professional et Microsoft DP-203.
Disponible en remote, hybride et on site.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- Wynn Al Marjan IslandLead Data EngineerJanuary 2026 - May 2026 (4 months)Ras Al-Khaimah - Ras al Khaimah - United Arab Emirates• • Building the data infrastructure for a greenfield luxury integrated resort. Designing, building and shipping production pipelines across CRM activation, marketing activation, and HR data integration.• • Architected and built an end-to-end reverse-ETL pipeline (Snowflake → Salesforce) for player CRM data using Bulk API v2 in Python, deployed in Snowflake Notebooks.• • Designed the marketing activation pipeline (Snowflake → Braze CDI)• • Built the HR data ingestion pipeline from Oracle HCM Cloud REST API into Snowflake, then published to a Kafka cluster via Fivetran for the internal employee search engine.• • Coordinated cross-functional delivery with the Salesforce SI partner, the Braze implementation partner, the Azure infrastructure team, and the internal business teams.
- UPCOOPSenior Data Engineer - Tech LeadMarch 2024 - December 2025 (1 year and 9 months)• • Defined pipeline design patterns ensuring scalability, robustness, and cost-efficiency.• • Led migration and integration of pipelines into Microsoft Fabric.• • Implemented CI/CD workflows with Azure DevOps and Infrastructure as Code with Terraform.• • Delivered curated data products (e.g., voucher lifecycle, revenue trends).• • Optimized clusters, storage, and jobs for performance and cost savings.• • Automated and monitored data governance best practices. Fabric, Factory
- TF1Senior Data EngineerJanuary 2019 - January 2023 (4 years)• • Implemented real-time and batch pipelines for audience data ingestion.• • Built recommendation APIs and automated segment creation in AdTech tools.• • Migrated Audience Information System to Azure Cloud Solutions.• • Led requirement gathering, project management, and technical support. Functions, Factory, Analytics
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Education
- Engineer's degree, Business IntelligenceEcole supérieure d'Ingénieurs en Génie électrique2015Engineer's degree, Business Intelligence
Certifications
- CRT020: Databricks Certified Associate Developer for Apache Spark 2.4 with Scala 2.11Databricks
- Microsoft Certified: Azure Data Engineer AssociateAzure