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Builds and maintains data pipelines for a French social-security system, writes documentation, and mentors junior engineers.
Lead a team building scalable data pipelines and cloud infrastructure, collaborating with business stakeholders to drive data-driven decisions and best practices.
Builds and maintains Python-based ETL/ELT pipelines on GCP and Snowflake to ensure reliable, high-performance data flows for analytics and reporting.
Design and build modern data platforms, including pipelines, Lakehouse/Data Warehouse architectures, and cloud data solutions using Snowflake, Databricks, and Python/Spark.
Design and maintain cloud-native data pipelines and models to power analytics, BI, and AI initiatives for a global gambling company.
Builds large-scale AI pipelines to process Earth observation data, integrating remote sensing with machine learning for climate analytics.
Designs and maintains scalable data pipelines using Spark, Kafka, and Flink, deploys AI-ready cloud architectures on AWS/GCP, and enables GenAI model integration.
Designs scalable data pipelines and cloud infrastructure (AWS/GCP) to feed GenAI models, using Python/Scala and ensuring data quality for digital transformation projects.
Build and maintain a high-stakes data platform using Spark, Kafka, Scala/Java, and DevOps tools to deliver real-time and batch data pipelines and REST APIs.
Build and maintain real-time data pipelines for a consulting firm, ensuring consistency and performance in production cloud environments while bridging technical and business teams.
Build and maintain modern Snowflake data platforms on AWS, including batch/real-time pipelines and dbt transformations, with Airflow orchestration and Terraform CI/CD.
Build and maintain robust data pipelines for a retail client, using Python, SQL, dbt, and GCP services like BigQuery and Airflow to ensure high-quality, production-ready data for BI and AI teams.
Build data pipelines and models, create dashboards, and ensure data reliability for a real-estate services and technology company.
Build and optimize cloud data pipelines for an investment platform, integrating financial data sources like Bloomberg into a Databricks-based Lakehouse.
Designs and deploys scalable data and AI pipelines using Python, Databricks, MLflow, and cloud platforms (Azure/AWS/GCP) to support business use cases.
Build and maintain scalable big-data pipelines using Spark, Python/Scala, and Hadoop; collaborate with data scientists to deliver robust ETL/ELT workflows.
Build and maintain cloud data pipelines that feed operational apps, auto-generate GraphQL APIs, and ensure scalable, observable performance in BigQuery.
Build and maintain data pipelines and cloud DevOps solutions using Python, SQL, and ETL tools like Talend or Informatica, plus visualization platforms.
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.
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