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Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Build and maintain robust data pipelines using DBT and Snowflake, transforming raw data into clean, governed assets for business analytics and regulatory reporting.
Lead a team to design, build, and maintain robust data pipelines and architectures for enterprise clients, using SQL, Python/Java/Scala, Kafka, and cloud/big-data stacks.
Leads a team to design and deploy robust data pipelines and distributed architectures using SQL, Kafka, and ELK, while mentoring junior consultants.
Builds and maintains data pipelines for Rexel France’s ecommerce site, implements tracking, runs A/B tests, and builds predictive models to optimize digital marketing performance.
Design and build Microsoft Fabric lakehouse architectures, ingest multi-source data, and orchestrate pipelines for a 6-person data team.
Designs, builds, and maintains data infrastructure and leads data projects for a French public-sector inter-municipal authority.
Cloud Data Engineer helping large clients migrate to Google Cloud Platform, building secure data pipelines and full DevOps CI/CD workflows using GCP, Python, Kubernetes and Docker.
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Lead a team migrating legacy data systems to a modern Databricks/Azure platform, building scalable batch and streaming pipelines, and deploying BI, ML, and GenAI use cases for a large financial client.
Senior Python engineer building scalable data pipelines and applications to modernize energy-sector systems using Python, Pandas, and DevOps practices.
Build and maintain scalable data pipelines on Databricks, collaborating with cross-functional teams to deliver robust data architectures.
Design and deploy modern data analytics solutions on Microsoft Azure and Fabric, building ETL pipelines and optimizing data models for BI insights.
Senior Data Engineer builds and optimizes large-scale data pipelines using Scala, Spark, and Databricks, then delivers BI reports in Power BI for a French enterprise data factory.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
Builds and maintains Power BI dashboards and standardizes reporting for AXA’s business units, ensuring data accuracy and supporting quality audits.
Consultant builds and optimizes cloud data pipelines on GCP for enterprise clients, blending Data engineering and BI to support digital transformations.
Build and maintain cloud-based ETL pipelines using Azure/AWS and Python, ensuring reliable data flows for analytics and reporting.
Build and deploy Microsoft-based data pipelines and cloud solutions for clients, focusing on Azure data services and AI/ML integrations.
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