Romain Dessaint
Data Analytics Engineer @Lenstra
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WORK HISTORY
Data Analytics Engineer @Lenstra
Ville de Paris, FR
Consulting mission via Lenstra]- Luxury Goods SectorAnalytics engineer for the Sales, Retail, and Digital domains at a major luxury group : Scoped and challenged business needs with operational stakeholders Designed and built data products and dashboards to support insight-driven decision-making Ingested new data sources into the data platform (GCP BigQuery) Modeled new data products (+15) using SQL and dbt Optimized existing models for performance and cost-efficiency Co-developed a data quality framework and a platform health monitoring dashboard Implemented extensive quality tests to ensure reliability of business-facing data Managed daily operations and maintenance of data products in production Oversaw decommissioning of legacy assets and migration to platform-native solutions Delivered a strategic dashboard for the Executive Committee to enable C-level decision-making
EDUCATION
CY Cergy Paris Université
Cursus Master en Ingénierie - Systèmes Intelligents Communicants, Ingénierie informatique
Université de Technologie de Troyes
Master Spécialisé Big Data - Analytics Avancées pour la décision, Data Science et Data Engineering
University of Jyväskylä
Master 1 (M1), Information Technology
CY Cergy Paris Université
Master Informatique et Ingénierie des Systèmes Complexes (IISC), Ingénierie informatique
CY Cergy Paris Université
Licence Informatique, Ingénierie informatique
Lycée Evariste Galois
Baccalauréat Scientifique
ABOUT ROMAIN DESSAINT
Analytics engineer with a hybrid profile combining strong technical skills, business understanding, and a product-driven mindset. I’ve worked on high-impact data projects for major companies in the pharmaceutical and luxury sectors. My experience bridges the gap between business needs and technical delivery — from data modeling and robust data pipelines to data quality frameworks, platform monitoring, and executive-level dashboards. Leading complex data initiatives (demand forecasting, legacy decommissioning, strategic dashboards) Proficient in GCP, dbt, SQL, Python, Terraform, Power BI, Streamlit Comfortable navigating between data governance, stakeholder management, and engineering executionI’m passionate about building data products that are reliable, scalable, and genuinely useful — with real business value.
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