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Analyzes sustainability, quality, and regulatory data to build BI dashboards and models, ensuring data accuracy and driving eco-friendly improvements for a global power-tool manufacturer.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Build and maintain Carrefour’s GCP-based data platform, automating pipelines for BigQuery, Cloud Storage, and Qlik BI tools to support e-commerce analytics at scale.
Build and optimize modern data analytics pipelines using dbt, Snowflake/BigQuery/Databricks, and BI tools to deliver clean, standardized datasets for reporting and analysis.
Builds and maintains BI dashboards and reports using SQL and tools like Qlik or SAP BO, trains users, and performs functional testing for a media publisher.
Build and maintain data pipelines, dashboards, and predictive models to optimize the performance of Rexel’s eCommerce site using Qlik, Python, and web analytics tools.
Build and maintain data pipelines, dashboards, and predictive models to optimize Rexel’s eCommerce site performance, using Qlik, Python, and web analytics tools.
Build and maintain financial-data pipelines using PySpark, Kafka, and cloud tools; design ingestion, governance, and BI layers for Sopra Steria clients.
Builds and maintains BI reports and dashboards (Qlik, SAP BO) and ETL pipelines (Talend) for a French media group, translating business needs into SQL-based analytics and visualizations.
Consultant builds and maintains data pipelines, warehouses, and catalogs for clients using tools like Talend, Microsoft Fabric, and Azure, while advising on best practices.
Build and refine BI dashboards, consolidate data pipelines, and automate reporting on GCP/BigQuery to track furniture and construction waste recycling KPIs.
Build and maintain scalable data pipelines and analytics solutions for a financial-services client using Spark, Kafka, and cloud platforms like Azure HD Insight.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Builds and maintains web analytics pipelines, predictive models, and conversion optimization tools for Rexel’s ecommerce site using Python and Qlik.
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.
Alternant Data Engineer in Sopra Steria’s Data Factory, building and optimizing Big Data pipelines for financial clients using Spark, Python, SQL, and cloud tools like Databricks and Snowflake.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.
Build and maintain cloud-based data pipelines for financial clients, using Spark, Kafka, and Azure to ingest, transform, and expose data securely.
Build and maintain scalable data pipelines and warehouses in GCP/Azure, transforming raw data into clean, reliable insights for business decisions and dashboards.
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