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Builds SAP BW/HANA data pipelines that turn supply-chain data into AI-driven BI insights for Decathlon’s retail analytics.
Lead Data Engineer designing and building ML-powered forecasting pipelines in Python and SQL to improve activity prediction reliability for a climate-tech company.
Lead a team to design and scale cloud-based data pipelines and platforms for a sports analytics company using AWS.
Build and maintain Microsoft Fabric/Azure data pipelines and BI solutions for clients, focusing on ETL/ELT, data governance, and Power BI dashboards.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Build and maintain Python pipelines that ingest, clean, and analyze industrial sensor data, then surface insights via dashboards and predictive models for high-tech equipment.
Builds 3D aircraft data models and Skywise dashboards for an aerospace engineering firm, handling data management and analytics.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Build and refine BI dashboards, consolidate data pipelines, and automate reporting on GCP/BigQuery to track furniture and construction waste recycling KPIs.
Builds and maintains industrial data pipelines using PI System and Kepware to connect factory floor data to Power BI dashboards, ensuring data quality and traceability for performance improvements.
Build and maintain ML pipelines and deep-learning models for satellite altimetry data to monitor hydrology and water resources.
Build and maintain data pipelines in Azure Databricks with PySpark/SQL, then create and deliver Power BI dashboards to help teams make data-driven decisions.
Design and deploy end-to-end data analytics solutions on Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling, and real-time data flows.
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Designs and implements data pipelines for AI-driven energy management and industrial automation using Python, Spark, and cloud platforms like AWS or Azure.
Designs and builds real-time ELT pipelines for 3D LiDAR spatial data in Databricks and AWS, ensuring low-latency performance and semantic integrity for AI-driven spatial applications.
Build and maintain data pipelines using dbt and Snowflake, orchestrate workflows with Airflow, and automate tasks in Python for clients in finance, healthcare, mobility, and climate sectors.
Build industrial AI solutions using Python, Data Science, and Generative AI/NLP for Assystem’s digital teams.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
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