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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.
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.
Build and maintain Alan’s full-stack data infrastructure—from SQL/Python pipelines and Snowflake warehousing to Metabase dashboards—helping the company use data to improve health insurance, prevention, and member care.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Senior Data Engineer builds and governs robust data pipelines and architectures for AI agents in finance, public sector, luxury, and healthcare, ensuring reliability and scalability for production use.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Data Engineer builds and maintains Snowflake/Airflow pipelines, structures data zones, and applies CI/CD standards for a government data/IA squad in Bordeaux.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
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.
Designs and builds modern data platforms using Snowflake and Airflow, transforming data pipelines in an agile team.
Build and maintain high-volume data pipelines on GCP using BigQuery, dbt, and Airflow, optimizing performance and ensuring data quality for analytics.
Design and deploy robust ETL/ELT pipelines, orchestrate workflows with Airflow, and build modern data stacks on Denodo, Dremio, Trino, and Iceberg in Kubernetes environments for public-sector clients.
Build and deploy ML models end-to-end: design MLOps pipelines, containerize services, and scale AI systems on cloud platforms like AWS/GCP.
Senior Data Engineer building and optimizing data pipelines and warehouse models for Ubisoft’s Publishing domain, using SQL, Python, PySpark, Snowflake, and Databricks.
Build and maintain end-to-end data pipelines and modern data stacks for clients, using cloud DWHs (BigQuery/Snowflake), orchestration (Airflow, dbt), and SQL/Python to deliver reliable, analytics-ready data and BI solutions.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Build and maintain robust data pipelines using DBT and Snowflake, transforming raw data into clean, governed assets for business analytics and regulatory reporting.
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Build and maintain cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
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