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Data engineer at a French cancer institute designing and maintaining data architecture, EDS, and dashboards while ensuring data governance, quality, and security in Nancy.
Data Engineer on an 18-month interim contract deploying SAP IBP for MRO Supply Chain, managing the full data lifecycle—from analysis and quality control to integration into an AWS Data Platform.
Data Engineer transforming raw data into actionable insights and ensuring data reliability and governance for Product, Marketing, and Finance teams on the leboncoin marketplace platform.
Build and maintain data pipelines to feed SAP IBP and AWS Data Platform, ensuring data quality and governance for aerospace supply-chain planning.
Build and optimize an embedded analytics stack for livestock performance, from data ingestion to OLAP modeling and BI dashboards.
Data Engineer designing and developing ETL/ELT pipelines, setting up data warehouses and lakes, and maintaining data infrastructure using Kafka, DBT, Spark, Snowflake, GCP, Azure, Kubernetes, and Airflow.
Data engineering consultant at Zenika (ESN) designing and maintaining data pipelines, evolving architectures to cloud (GCP/Databricks), mentoring clients, and participating in discovery phases—using Python, SQL, DBT, Airflow, Spark, and Terraform.
Senior Data Engineer responsible for developing and evolving Data platforms, building Talend-based ETL pipelines, optimizing SQL for a Data Warehouse and Actuarial base, and ensuring data quality — on-site in Paris.
Build and maintain data pipelines for a banking team using Spark and Cloudera, ensuring reliable batch and real-time data flows for regulatory reporting.
Data Engineer working on data integration and analysis projects, building ETL pipelines and Java-based solutions in Hadoop/Cloudera environments for a Rennes-based agency.
Data Engineer designing optimized architectures, building real-time data ingestion pipelines with Kafka and Snowpipe, and modeling data using Star Schema, DataVault, and DataMesh in a Snowflake-focused DataOps environment.
Designs and deploys scalable ML models for enterprise clients, collaborating with data teams to operationalize AI solutions in production environments.
ML/Data Engineer building and industrializing AI/ML forecasting solutions for supply chain clients at a Paris-based consulting firm, using AWS (ECR/EKS), CI/CD pipelines, and MLOps practices.
Build and maintain on-prem data pipelines for AI workloads handling images, video, and time-series data in an offline-first, air-gapped environment.
Design and develop data products from infrastructure scans (BMC Discovery) using Starburst and Open Data, transforming data into usable views for IT, production, and security teams on a 3-year freelance mission.
Build and maintain data pipelines for a private wealth management bank, moving data from Azure Blob to Snowflake with dbt and SQL, ensuring clean, reliable datasets for reporting and analytics.
Designs and optimizes data pipelines on Azure Lakehouse for analytics and AI, focusing on performance, quality, and AI-assisted development practices.
Design and develop scalable data pipelines and dashboards using Airflow, dbt, and GCP to support business intelligence and decision-making at a payment company.
Data Engineer building Big Data pipelines, streaming solutions, and Datalake/NoSQL environments using Apache Spark, Kafka, and Databricks at a European parcel delivery leader.
Build data architectures and ETL/ELT pipelines using Python, SQL, and Spark at Sogeti's Aix-en-Provence office, collaborating with business and IT teams.
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