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Builds and maintains data pipelines and cloud-based ETL workflows to feed analytics and dashboards for a finance-focused R&D team using Python, SQL/NoSQL, and serverless cloud.
Oversee data compliance and governance for a Paris-based product company, building trusted data foundations and defining standards while collaborating with cross-functional teams.
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.
Designs, builds, and maintains scalable data pipelines and architectures to integrate and process diverse data sources for analytics and decision-making.
Build and maintain high-volume data pipelines on AWS/Snowflake, transforming raw ingestions into clean, modeled datasets for analytics and reporting.
Design, build, and optimize scalable data pipelines and architectures for international clients, ensuring data quality, security, and performance while collaborating with data scientists and business teams.
Expert IA designing, integrating, and deploying explainable AI solutions for safety-critical railway control systems while ensuring compliance with RAMS/FDMS standards.
Build and optimize data pipelines using Python, SQL, FastAPI, and Google Cloud tools, while experimenting with AI to enhance workflows and drive business impact.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and availability for BI and Data Science teams using Python, SQL, and modern data architectures.
Builds ETL/ELT pipelines and data models to unify identity and access data, then implements quality controls and an identity graph for consolidated IAM governance.
Design and optimize Snowflake-based data platforms and dbt pipelines for a large enterprise, building scalable ELT workflows and high-performance data models.
Lead a backend and data engineering team to build a zero-hallucination AI platform using Python, Apache Beam, FastAPI, and Temporal on Google Cloud Spanner and graph databases.
Build and maintain scalable data pipelines and warehouses in GCP/Azure, transforming raw data into clean, reliable insights for business decisions and dashboards.
Designs, implements, and maintains AWS-based infrastructure using Terraform/CloudFormation, ensuring reliability, security, and cost efficiency for hybrid work environments.
Build and maintain data pipelines and warehouses (Snowflake, dbt, Python) to turn raw business data into analytics-ready models that power reporting and decision-making.
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.
Designs, builds, and maintains scalable data pipelines and cloud-based data platforms for financial clients, using AWS, Databricks, Airflow, dbt, PySpark, and CI/CD.
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 end-to-end data pipelines on Azure Data Factory and Microsoft Fabric, integrating large-scale data from APIs and databases to support airline operations.
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