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Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Build and maintain ETL/ELT pipelines to ingest and transform game-player data, ensuring quality and reliability for Ubisoft’s titles like Assassin’s Creed and Rainbow Six.
Senior Data Engineer builds and maintains reliable, scalable data pipelines and Snowflake-based warehouses for a SaaS nonprofit platform, ensuring clean data flows between HubSpot, Jira, Odoo and Google Workspace.
Designs and builds ETL pipelines and data integration solutions using SQL, NoSQL, and tools like Semarchy or Denodo to support business analytics and reporting.
Senior Data Engineer modernizes a large bank’s Big Data platforms, migrating batch jobs to Cloudera CDP and Google Cloud using Spark, SQL, and Kubernetes while ensuring performance and reliability.
Build and maintain cloud-based data platforms using PySpark, SQL, and streaming frameworks like Kafka to process and deliver large-scale datasets for analytics.
Builds and optimizes scalable data pipelines and cloud-native architectures for clients, focusing on AWS, Spark, and serverless GenAI integrations while collaborating with ML and DevOps teams.
Build and maintain data pipelines using DBT and SQL in a cloud warehouse, ensuring reliable, tested models and CI/CD integration.
Builds and optimizes data pipelines using Microsoft Azure and Fabric to support analytics and reporting for a public-sector organization.
Consultant Data Engineer designs and optimizes Databricks/Spark pipelines, reduces data-processing costs, and applies LLM tools to improve performance and documentation for a Lille-based client’s data-architecture overhaul.
Build and maintain cloud data pipelines and platforms for clients using AWS, Snowflake, Databricks, and Airflow, primarily in Python and PySpark.
Lead a data engineering project using Databricks, Python, Scala and SQL to modernize clients’ data infrastructure.
Build and optimize scalable, secure Snowflake-based data pipelines and modern data platforms for clients, integrating multi-cloud services and applying DataOps best practices.
Build and maintain the BI platform and data pipelines that power dashboards and analytics for an international product company.
Build and maintain scalable cloud data pipelines on Snowflake, using dbt for analytics modeling and Airflow for orchestration, to deliver reliable data assets for BI and Data Science teams in a banking context.
Lead Data Engineer builds and scales cloud-based data pipelines and platforms for clients using Python, Spark, or Scala, deploying full infra-as-code in AWS/GCP/Azure.
Designs and builds cloud-based data platforms and governance pipelines, focusing on scalable data modeling and quality for enterprise clients.
Build and maintain high-volume data pipelines for a large French e-commerce leader using Snowflake, Kafka, and Python, with infrastructure managed via Terraform and Kubernetes.
Build and scale a unified data platform for a fintech/e-commerce group, migrating workflows to Snowflake, dbt Core, and Airflow while ensuring data reliability and security.
Senior Data Engineer builds and maintains robust data pipelines, improves data infrastructure, and creates training content for clients using Big Data technologies.
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