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Build and optimize Snowflake-based data pipelines and dbt models for enterprise clients, ensuring robust data architecture, governance, and performance under the Modern Data Stack.
Consultant Data Engineer builds and deploys secure, FinOps-optimized data pipelines on Microsoft Fabric and Azure for clients, designs scalable solutions, and trains teams on best practices.
Leads end-to-end Microsoft Fabric and Azure Data architectures for clients, designing pipelines, governance, and analytics solutions while mentoring teams and delivering training.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling, and real-time data flows.
Leads Snowflake-based data-cloud projects for clients, designing scalable architectures, optimizing costs, and mentoring teams while integrating with Azure and Microsoft tooling.
Build and deploy secure, scalable data pipelines on Microsoft Fabric and Azure for clients in finance, AI, and devtools, while mentoring teams and driving FinOps best practices.
Build and optimize a new GCP-based data platform for a large French fresh-food retailer, focusing on ingestion pipelines, performance tuning, and FinOps while migrating from legacy systems.
Build and advise on modern data platforms on Google Cloud Platform, designing scalable architectures with BigQuery, Dataflow, and Dataproc while mentoring junior engineers.
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
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.
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 optimize scalable, secure Snowflake-based data pipelines and modern data platforms for clients, integrating multi-cloud services and applying DataOps best practices.
Build and optimize data pipelines for an aerospace-industry client’s global Data Platform, refactoring Python/Spark jobs to cut costs and adding observability dashboards for FinOps.
Build and maintain cloud-based data pipelines on Azure, using Spark, Scala, Python, and SQL to feed a DataLake and power cost-tracking dashboards for FinOps.
Builds and maintains Renault’s GCP-based data platform, designing ETL pipelines, ensuring data quality and security, and enabling business reporting via Looker.
Builds and maintains GCP-based data pipelines and warehouses for a financial-services company, ensuring reliable, secure, and performant data flows for reporting and analytics.
Designs and builds cloud data pipelines using Microsoft Fabric and Azure, optimizing for DevOps and FinOps in finance, insurance, and retail sectors.
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