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leo gillette

@leogillette

Data Engineer at Spinergie who industrialized vessel data pipelines processing tens of thousands of positions per minute.

France

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At Spinergie, I designed and industrialized batch and real-time data pipelines processing tens of thousands of vessel positions per minute. I worked with Python, PostgreSQL, Redis, and AWS S3/SQS.

I also designed and deployed AWS data infrastructure with Terraform and Ansible, standardized environments with Docker, and migrated scheduled processes to Airflow.

Earlier at Spinergie, I developed maritime data processing and enrichment algorithms, machine learning models for vessel destinations and estimated arrival times, and a press article scraping pipeline.

At Sfeir, I designed and developed AI agents for an insurance client and created an evaluation framework to assess their performance offline and online using Langfuse.

Experience

Work history, roles, and key accomplishments

AI Engineer

Sfeir

Mar 2026 - Aug 2026 (5 months)

Designed and developed AI agents using LangChain and LangGraph, integrated into business workflows. Designed an AI agent evaluation framework to assess agent performance both offline and online using Langfuse.

Lang Chain LangGraph Langfuse AI Agents Evaluation Frameworks

Data Engineer

Spinergie

Jan 2024 - Mar 2026 (2 years 2 months)

Designed and industrialized batch and real-time data ingestion pipelines, processing up to tens of thousands of vessel positions per minute, using Python, PostgreSQL, Redis, and AWS S3/SQS. Designed and deployed data infrastructure on AWS using Terraform and Ansible, standardized environments with Docker, migrated scheduled processes to Airflow, implemented CI/CD and monitoring practices.

Python PostgreSQL Redis S3 AWS SQS Terraform Ansible Docker Airflow GitHub Actions Poetry UV развертка Ruff Pytest Sentry Datadog CI CD

Data Scientist

Spinergie

May 2020 - Dec 2023 (3 years 7 months)

Developed a press article scraping pipeline using Scrapy, PostgreSQL, and Elasticsearch. Developed maritime data processing and enrichment algorithms, machine learning models for vessel destination and ETA prediction, data quality monitoring tools, and dashboards for web applications using Django and MySQL.