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Builds real-time Azure data pipelines and cloud analytics to optimize commercial tools for a logistics-focused client.
Build and maintain cloud-based data pipelines and analytics platforms for major banks and financial institutions using Data Cloud and Big Data tools.
Designs and maintains ETL pipelines and a data warehouse to feed BI/AI use-cases, builds Power Platform solutions (Power BI, Power Apps, Power Automate, Dataverse), and connects Dynamics 365, Salesforce, and MS SQL Server.
Design and build large-scale data pipelines on Azure/Databricks using PySpark, ensuring quality and performance for a major electricity distributor.
Designs and builds scalable data pipelines and cloud-based data platforms for clients, focusing on ETL/ELT architecture and cloud environments like GCP and Azure.
Senior Data Engineer builds and maintains scalable Databricks pipelines using Spark, Hadoop, and cloud platforms, collaborating with Data Science and engineering teams.
Designs and builds Snowflake data pipelines and warehouses for clients, guiding data modeling and industrializing analytics solutions.
Build and maintain data pipelines, storage, and modeling for analytics and AI teams using best practices in data governance and CI/CD.
Designs and builds secure data pipelines for large datasets, focusing on ETL, cloud data warehousing, and security-cleared environments.
Build and optimize data pipelines for public-sector clients in Toulouse using Hadoop, Spark, Kafka, and Kubernetes.
Data Engineer building scalable data pipelines on Databricks and Spark, integrating data sources and optimizing solutions for clients in a consulting role.
Build and scale a secure, high-performance data platform in Python and SQL, collaborating with analysts to ensure data quality and governance.
Build and maintain scalable data pipelines and infrastructure for a healthcare-focused cloud platform, transforming raw data into actionable insights using Python, SQL, and cloud-native tools.
Designs and builds scalable data pipelines, cloud data architectures, and ETL/ELT processes for AI and ML projects at major enterprise clients.
Builds and maintains ETL pipelines and data integration solutions for business needs using SQL, NoSQL, and tools like Semarchy or Denodo.
Builds and maintains data pipelines, warehouses, and dashboards to feed analytics and business decisions using SQL and Python.
Senior Data Engineer at Sopra Steria’s Data Center of Excellence, building data pipelines and cloud/on-prem architectures for clients in banking, insurance, media, and more using Python, SQL, and ETL tools.
Data Engineer using dbt to build and optimize data pipelines, write Python/SQL transformations, and support clients with BI and data integration projects.
Build and optimize scalable data pipelines on Google Cloud Platform (BigQuery, Cloud Functions) to support retail analytics and reporting.
Build and optimize data pipelines for an energy company using Airflow, Python, and Trino, while auditing and improving existing workflows and collaborating with non-technical teams.
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