About Nathan
What I bring to you
- Ingestion industrialization: APIs, SaaS, relational databases, marketing exports, custom connectors (DLT, Python)
- Orchestration with Prefect, Airflow, or Dagster, scheduled, monitored, reproducible workflows
- Transformation with dbt and Python, data quality and CI/CD integrated into the pipeline lifecycle
- Warehouses: Snowflake, BigQuery, PostgreSQL, Redshift, Databricks
- Dimensional models, star schemas, harmonizing fragmented sources (post-acquisition, multi-entity)
- Embedded governance: KPI catalogs, ownership, RBAC, lineage, impact analysis
- Multi-tenant and white-label platforms, datasets, dashboards, and AI capabilities activated per client
- Custom Next.js dashboards: role-based access, light/dark themes, responsive
- ECharts visualizations, KPIs, geospatial views, executive and operational dashboards
- Tableau and Power BI for existing teams
- FastAPI APIs to expose curated datasets, models, and business logic
- Natural language data assistants: queries in French or English, SQL generation, explanations
- Smart Cockpit: AI summaries, anomaly detection, contextualized alerts
- Production deployment of ML models on GCP and AWS (APIs, mobile integration, analytics)
- AWS and GCP daily, cloud-native pipelines, Docker, Kubernetes
- Streaming (Kafka, Google Pub/Sub) when real-time matters
- GitHub Actions, GitLab CI/CD: reproducible environments, controlled deployments
French
Native or bilingual
English
Native or bilingual
Experience
- BluprintXLead Data TechnicianCONSULTING AND AUDITSSeptember 2024 - Today (1 year and 11 months)Manchester, United Kingdom
- Design of the complete data architecture for the new Data entity, defining standards for data ingestion, storage, and harmonization across business units.
- Design of scalable data pipelines and APIs on AWS, with automation and reliability of processes.
- Management of an internal data hub with role-based access, allowing teams to explore curated datasets.
- Management of several client projects involving data integration, marketing analytics, and revenue forecasting.
- Technical reference for Big Data, architecture, and cloud-native design topics.
- ColisportData & Analytics ArchitectTRANSPORTATIONMay 2024 - December 2024 (7 months)Paris, France
- Design and implementation of a complete analytics platform for data visualization and model exposure.
- Implementation of automated data pipelines to collect, process, and aggregate operational data from multiple sources.
- Integration of an AI assistant enabling natural language queries on the database.
- Design of dashboards for financial monitoring and interactive geospatial visualizations for business strategy and pricing optimization.
- CIGROUPData SpecialistCONSULTING AND AUDITSSeptember 2022 - September 2024 (2 years)Londres, United Kingdom
- Management and delivery of data projects for major clients in various sectors, following the acquisition of the Data entity.
- Implementation of a data pipeline orchestration system to industrialize data ingestion and integration.
- Delivery of analyses for clients: segmentation, targeting, cost forecasting, and financial reporting.
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Education
- Master Applied Mathematics and Statistics, Data Science trackUniversité Claude Bernard Lyon 12021Statistiques, Modèles de Régression, Séries Temporelles, Machine Learning, Deep Learning, Data Mining, Cloud Computing...