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Build and maintain Alma’s data architecture, ensuring reliable and performant cloud-based data pipelines and systems.
Lead a European data-engineering team to build and maintain Snowflake, dbt and Airflow pipelines while ensuring code quality and cross-functional collaboration.
Build and maintain cloud-based data pipelines and infrastructure for clients, collaborating with data scientists and using Python, Spark, Scala, AWS, or GCP.
Lead a data engineering team to build and optimize airport operations analytics, improving decision-making and performance for Onet Airport Services.
Lead backend and data engineering for a deterministic AI RAG platform, building scalable FastAPI services, Apache Beam pipelines, and optimizing Google Cloud Spanner with graph queries and Temporal workflows.
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.
Leads end-to-end Microsoft Fabric and Azure Data architectures for clients, designing pipelines, governance, and analytics solutions while mentoring teams and delivering training.
Leads a team building and optimizing Microsoft Fabric and Azure-based big-data pipelines, mentors peers, and contributes to the tech community.
Leads Snowflake-based data-cloud projects for clients, designing scalable architectures, optimizing costs, and mentoring teams while integrating with Azure and Microsoft tooling.
Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics and reporting.
Leads a team to design, build, and document Databricks-based data pipelines using Scala, Python, and DevOps practices for enterprise clients.
Designs and builds enterprise-scale data pipelines on AWS and Spark, integrating GenAI platforms and collaborating with AI engineers to deliver scalable data products.
Design and build scalable Snowflake-based ELT pipelines and mentor data engineers for a large French organization.
Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Build and scale the data pipelines and AI systems powering Panora’s AI agents for insurance brokers, focusing on reliability, traceability, and compliance.
Build ETL/ELT pipelines and data-quality processes to consolidate identity data from HR, IAM, and ITSM systems into a unified Identity Graph.
Lead Data Engineer designs and optimizes scalable big-data pipelines and architectures for clients, using Spark and Kubernetes.
Leads a small team of junior data engineers to build and maintain a Databricks-based data platform on Microsoft Azure, setting architecture and CI/CD pipelines.
Leads a data engineering team in Paris, designing scalable big-data architectures with Hadoop, Spark, Kafka, Kubernetes and Docker while mentoring engineers.
Lead a data team to build ETL/ELT pipelines and reporting that drive operational excellence for airport assistance services.
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