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Design and build a healthcare data warehouse that standardizes, validates, and documents patient data to support research and care improvement using SQL, Python/R, and OMOP standards.
Design and build scalable data pipelines, ETL processes, and dashboards using Python/Scala, SQL, NoSQL, and AWS for a government employment agency.
Build and maintain ETL/ELT pipelines, ensure data reliability, and automate data ingestion from SFTP/APIs/databases into a Datalake using Python, Airflow, AWS, and BigQuery.
Build and maintain data pipelines, clean and model customer data, and deploy scalable BigData solutions on AWS/Azure for marketing analytics.
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 scale high-volume data pipelines for a leading French e-commerce company using Snowflake, Kafka, and Python.
Senior Data Engineer building and maintaining scalable AWS pipelines, ensuring data quality, and enabling AI-driven real-estate analytics for Khome’s fintech-proptech platform.
Builds and optimizes ETL data pipelines using Talend to integrate multiple data sources and ensure data quality.
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Build and maintain scalable data pipelines on Databricks and Spark, ensuring clean, secure data flows for analytics and AI projects while collaborating with data science teams.
Builds and maintains Renault’s GCP-based data platform, designing ETL pipelines, ensuring data quality and security, and enabling business reporting via Looker.
Designs and implements complex ETL pipelines and BI data models to support decision-making, using SQL and tools like ODI, Talend, and Sémarchy XDI.
Senior Data Engineer builds and maintains scalable data pipelines on Databricks and Spark, ensuring robust data infrastructure for analytics and AI solutions in a consulting environment.
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.
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.
Build and maintain data pipelines and transformations for a mobility-focused platform, using AWS S3, dbt, and Redshift to feed analytics and business solutions.
Builds and maintains scalable data pipelines, integrates diverse data sources, and ensures data quality and security for analytics and ML workflows using Python, SQL, Spark, and cloud tools.
Build and optimize end-to-end data pipelines on Databricks and Spark, handling ingestion, modeling, storage, and exposure while mentoring peers and running DevOps practices.
Build and maintain scalable data pipelines and predictive models for payment flows using GCP, MLOps, and AI/ML in a fintech setting.
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.
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