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Lead a team building a marketing analytics platform, reviewing code, designing containerized Python/React apps via REST APIs, and integrating AI features into a data-heavy backend on AWS.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Own and scale Vibe’s petabyte-scale data backbone, building and maintaining storage, batch and real-time pipelines with Spark, DuckDB, Trino and ClickHouse.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Build and maintain scalable data pipelines and BI infrastructure on GCP (BigQuery), using dbt and Trino to feed MicroStrategy dashboards and enable AI-driven insights.
Senior Data Engineer building and maintaining Kafka/Spark pipelines for a large bank in Nantes, focusing on data ingestion, transformation, and CI/CD deployment.
Designs, builds, and operates large-scale data pipelines using Iceberg, Spark, DuckDB, and Trino to power reporting and analytics for an HR tech platform.
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 maintain a scalable health-data platform that unifies patient records, enforces security and privacy, and supports analytics and research across the Softway Medical group.
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.
Designs and maintains AI-first data pipelines on GCP using Python, dbt, and Trino to power Vente-Privee’s e-commerce platform.
Build and optimize data pipelines for an energy company using Airflow, Python, and Trino, while auditing and improving existing workflows and collaborating with non-technical teams.
Build and maintain robust data pipelines and ETL workflows for a public-sector client using Talend/Informatica, Airflow, and modern data platforms like Trino and Iceberg.
Build and maintain a scalable, multi-tenant data warehouse for a healthcare group, using S3, Iceberg, Trino, and Spark while securing IAM flows with Keycloak.
Data Engineer building and maintaining a large-scale data platform for a major bank, automating data ingestion and ensuring quality in a high-volume environment.
Build and maintain data pipelines for a strategic data warehouse in the energy sector using Python, Airflow, and SQL.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming-TV ad campaigns.
Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
Build and maintain petabyte-scale data infrastructure using Spark, ClickHouse, and lakehouse tools, and own incident response and cost optimization for real-time reporting.
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