Freelancer profile translated to English.
Back to original languageAbout Uriel
Senior / Lead Data Engineer with 11 years of experience in designing, building, and optimizing data platforms. I have worked in various sectors including media, business services, and luxury hospitality.
I support companies throughout their pipeline lifecycle, from ingesting source data to business activation, with a production-oriented, robust, and cost-conscious approach.
My areas of expertise:
- Snowflake, Databricks architecture and implementation
- Real-time and batch pipelines
- Azure and Microsoft Fabric platforms
- Reverse ETL and CRM integrations
- Orchestration on Apache Airflow and Astronomer
- CI/CD and Infrastructure as Code (Azure DevOps, Terraform, GitHub)
- Cloud pipeline migrations, legacy stack modernization, architecture redesign
- Technical leadership, architectural decisions, code reviews, mentoring, cross-functional coordination with IT, infrastructure, and business partners
Main Stack:
Snowflake, Kafka, Airflow, Python, SQL, Azure, Databricks, Microsoft Fabric, Braze, Fivetran, Terraform, GitHub.
Certified Databricks Data Engineer Professional and Microsoft DP-203.
Available for remote, hybrid, and on-site work.
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