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Administer and optimize the Dataiku platform, support data scientists, and coordinate with vendors and stakeholders while ensuring MLOps and DevSecOps best practices.
Designs and builds data pipelines on Google Cloud, models data in BigQuery, and creates dashboards in Looker using SQL and Python.
Build and automate data pipelines in Python to power digital twins of buildings and territories, integrating geospatial data and preparing AI services like LLM APIs and RAG systems.
Designs and maintains scalable clinical data pipelines for early drug development, ensuring CDISC/SDTM compliance and high-quality data for global teams.
Build and maintain geospatial data pipelines in Python and SQL to ingest, transform, and validate location-centric datasets for a Paris-based product team.
Build and maintain scalable data pipelines and models using Python, SQL, dbt, BigQuery, and Airflow to power analytics and reporting for a digital-offer platform.
Build and maintain scalable data pipelines and cloud infrastructure for a media company’s data platform using Python, Spark, SQL, GCP, Airflow, and Terraform.
Build and deploy data pipelines, models, and dashboards for insurance clients using Python, SQL, and cloud tools to turn raw data into actionable insights and AI use cases.
Build and maintain robust data pipelines and cloud architectures for a client, using Python, SQL, Airflow, and Kafka to ensure data quality and availability.
Build and maintain robust data pipelines and platforms for clients, focusing on reliability, scalability, and observability using tools like Spark, Kafka, and NiFi.
Build and optimize data pipelines and infrastructure for Owkin K, an AI co-pilot that uses agentic AI to accelerate biomedical research and drug discovery.
Build and maintain data pipelines, analyze business needs, and create visualizations to deliver insights for AI-driven projects.
Design, build, and optimize modern data pipelines and platforms for enterprise clients in finance, transport, and public sectors using SQL, NoSQL, and cloud tools like GCP BigQuery and AWS Glue.
Build and maintain cloud-based data pipelines and infrastructure for clients, using Spark, Kafka, and cloud tools to support ML and AI projects.
Builds and optimizes data pipelines in Snowflake and DBT, ensuring clean, governed data for analytics and reporting across the company.
Design and automate ETL pipelines, build SQL/NoSQL databases, and create BI dashboards to deliver data-driven insights for clients.
Build and maintain data pipelines, model datasets, and ensure data quality for a private healthcare group’s BI and analytics using SQL, R, and ETL tools.
Build and maintain scalable big-data pipelines and architectures using Java, Scala, and Spark for enterprise clients, deploying on AWS/Azure/GCP.
Design and migrate ETL pipelines from Informatica to Snowflake using DBT, integrate SAP data, and build robust data models for BI teams.
Designs and builds data pipelines and warehouses for a financial client, using ETL tools and SQL to deliver analytics-ready datasets.
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