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Builds and maintains scalable data pipelines and workflows in GCP for defense AI systems using Python, SQL, and Prefect.
Designs and maintains multi-cloud data pipelines for a SaaS retail-media platform, primarily on GCP, using Python.
Build and maintain cloud-based data pipelines and infrastructure for clients, collaborating with data scientists and using Python, Spark, Scala, AWS, or GCP.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Builds and optimizes distributed data pipelines in Spark and Scala to power AI-driven security risk analysis systems.
Senior data engineer leading a team to design, build, and maintain secure data pipelines and storage systems for a French military air base, enabling analytics and AI use.
Design and build cloud-based data pipelines for financial clients using Spark and Kafka to process large-scale datasets.
Design and optimize a new GCP-based data platform, consolidating infrastructure and building data ingestion pipelines for a product company.
Build and optimize Power BI reports and Alteryx pipelines for clients, model data warehouses, and coach teams on BI best practices.
Senior Data Engineer designing AI-powered data pipelines and cloud infrastructure for digital transformation projects.
Designs, builds, and maintains critical ETL/ELT data pipelines using Semarchy xDI, optimizes SQL queries across Oracle, SQL Server, and PostgreSQL, and ensures data quality and documentation.
Build and optimize cloud data platforms for clients using Microsoft Fabric, Databricks, and Spark, focusing on modern data architectures and BI solutions.
Designs and builds LLM pipelines and semantic search systems, deploys them on cloud or on-premise, and documents technical solutions for client projects.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Build and deploy scalable generative-AI systems on GCP, integrating LLMs and RAG into Air Liquide’s products while ensuring performance, cost, and observability.
Build and maintain Python pipelines that ingest, clean, and analyze industrial sensor data, then surface insights via dashboards and predictive models for high-tech equipment.
Build and own the data stack: extract, ELT, and enrich data from PDFs and CAD files using LLM & OCR pipelines, then normalize and enrich with external signals.
Lead a data engineering team to build and optimize airport operations analytics, improving decision-making and performance for Onet Airport Services.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Designs and deploys Microsoft Fabric and Azure-based data solutions, building ETL pipelines and models for analytics and reporting.
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