Paris, Île-de-France, France
As a Cloud Data and AI / ML Consultant at AWS, I specialize in AWS Data Services, ensuring my clients get the most out of cloud. With a focus on real-time data processing, analytics, Machine Learning & AI I support businesses in building scalable, efficient data platforms & applications that drive results, whether through a migration or from scratch. At AWS, I’ve gained deep expertise in AWS best practices and reference architectures, as well as an insider perspective from collaborating with AWS service teams giving me firsthand knowledge of the latest features and capabilities. I'm passionate about continuously learning and working alongside brilliant minds to solve complex, real-life problems. Whether it's leading data teams, designing architecture, or delivering solutions, I love diving into challenging projects that require creativity and innovation. I'm particularly focused on: - AWS Data Services (EMR, MSK, Glue, Athena, Aurora, Redshift, Lake Formation, Kinesis, S3) - AWS ML Services (Bedrock, SageMaker) - Python and SQL - DataOps and pipeline automation through IaC : AWS cdk, Terraform & CloudFormation; Jenkins, CodePipeline, CICD - Analytics Industry : dbt, Snowflake, Databricks, Iceberg & Other Open Table formats - Data & ETL Migration & Modernisations : SAP data extraction, Talend Jobs migrations, - Data Modeling - Data Governance & Data Strategy In our collaboration, you can expect: - Immediate impact: Get things done, meet deadlines, and push through your data challenges. - Long-term value: Train your teams, automate processes, and build sustainable solutions that outlast any single project.
• AI Engineer for a European Automotive Leader: ∗ Built an AI-powered migration bot to assist architects in migrating on-premise applications to AWS, targeting 40% reduction in architecture review time and improved compliance with internal standards. ∗ Stack: Amazon Bedrock, LangGraph, OpenSearch, AWS Lambda, Terraform, Aurora PostgreSQL • Lead Data Architect for a leading Aerospace company: ∗ Delivered a group-wide streaming data platform & Lakehouse, supporting Supply Chain, Connected manufacturing and IoT real-time use cases. ∗ Led Technical Architecture definition & implementation in AWS CDK, Conducted FinOps, Monitoring & Security operations. ∗ Stack: Spark (Amazon EMR), Kafka, Apache Iceberg, Lake Formation • Lead Data Architect for global Aerospace equipment supplier: ∗ Conducted an audit and advisory for a group wide data platform to industrialise data consumption patterns, enable self-service & support real time use cases in a context of connected factory ∗ Stack: IoT Core, Grafana, Athena, AWS Glue, SageMaker, AWS Lambda, Gitlab CI, SAP, Snowflake • Lead Data Engineer for a leading Aerospace company: ∗ Lead the migration & development of a Shopfloor Monitoring application to a real-time solution with 13s latency, improving the previous 24-hour delay. Data coming from SAP (manufacturing events) & IoT. ∗ Stack: Python, AWS Lambda, Amazon Aurora (PostgreSQL), SQS, API Gateway, dbt, CDK, Jenkins • Data Engineer for a major energy group: ∗ Led the architecture design and implementation of a Migration of an email processing solution from SQL Server to Redshift Serverless. The new solution replaced stored procedures with dbt and Redshift for enhanced performance. ∗ Stack: dbt, SQL (Redshift), AWS Lambda, AWS Fargate, Amazon S3 • Data Engineer for a major luxury goods group: ∗ Developed and deployed a real-time customer-360 Solution for in-store and online customer profiles. ∗ Stack: Flink (AWS Kinesis Data Analytics), Java, DynamoDB, Terraform, Jenkins
• Data Engineer for a Heating Network Optimization Project: ∗ Implemented data ingestion & transformation from various source systems into the company’s Snowflake Data Warehouse sourcing Power BI dashboards for business end-users, including critical production monitoring. ∗ Stack: dbt, Python, AWS Glue, Amazon S3, Amazon Athena, Snowflake, PowerBI • Data Scientist for an EV Charging Station Provider: Data analysis performed to identify low and underperforming stations, driving optimization of the charging station deployment strategy.
- Analyse fondamentale crédit (Investment Grade & High Yield) - Analyse quantitative/macro - Programmation VBA
- Missions autour de Solvabilité II (calcul de SCR, ...) - Programmation en Python