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Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
Build and maintain scalable data pipelines, optimize Big Data architectures, and ensure data quality and governance for analytics and decision-making.
Designs and builds data pipelines using Snowflake and Talend for a client in Rosny-sous-Bois, maintaining data models and ETL workflows.
Build and maintain data pipelines for financial clients using ETL tools like Talend or Stambia, SQL, and cloud/Big Data tech.
Build and maintain end-to-end data pipelines, model datasets, and create interactive dashboards to deliver reliable, business-ready data for clients in Nantes.
Build and maintain data pipelines and reports for a large social-security client, migrating from Power BI to a sovereign visualization platform and ensuring data quality and performance.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
Build and maintain data pipelines and advanced processing systems for banking clients using Python, Spark, and cloud platforms like AWS/GCP.
Build and optimize ETL pipelines and data models using ODI/Talend/Sémarchy xDI, SQL, and HP Vertica for analytics and reporting.
Build and maintain robust data pipelines and ETL workflows for a public-sector client using Talend/Informatica, Airflow, and modern data platforms like Trino and Iceberg.
Builds and optimizes ETL data pipelines using Talend to integrate multiple data sources and ensure data quality.
Designs and implements complex ETL pipelines and BI data models to support decision-making, using SQL and tools like ODI, Talend, and Sémarchy XDI.
Build and maintain the company’s data warehouse and ETL pipelines, migrating legacy SQL Server workflows to Snowflake and integrating new data sources to support business teams.
Build and maintain scalable data pipelines using Talend and Google Cloud Platform (BigQuery, Dataflow, etc.) to deliver reliable data solutions for client projects.
Build and maintain ETL/ELT pipelines and data models to integrate and transform customer data, then load it into warehouses/lakes for analytics and BI tools like Power BI.
Build and maintain data pipelines and ETL workflows using Python, Spark, and cloud tools to integrate and transform large datasets for enterprise clients.
Build and maintain data pipelines, ETL processes, and BI dashboards using Python, GCP/AWS, and Power BI to support business analytics and reporting.
Design and build ETL pipelines and data models using ODI/Talend or Sémarchy xDI, optimize SQL queries, and support BI reporting for government and enterprise clients.
Design and maintain high-performance data pipelines using Cloudera, Talend, Kafka, and Spark, while training teams on data best practices.
Build and maintain data pipelines and cloud DevOps solutions using Python, SQL, and ETL tools like Talend or Informatica, plus visualization platforms.
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