Beschreibung

Ingénieur Data & IA spécialisé AWS, j’accompagne les entreprises dans la conception et la mise en œuvre de plateformes analytiques et intelligentes à grande échelle. Fort d’une expertise pointue en architecture data (data warehouse, lakehouse, streaming, Kafka, Iceberg, EMR, Glue), j’intègre aussi les technologies d’IA générative (LLM, RAG, agents). J’interviens en tant qu'architecte data, (lead) data engineer, (lead) ML engineer.

Branchenexpertise

Sprachen

Französisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Paris (bis zu 50 km), Bordeaux (bis zu 50 km), Toulouse (bis zu 50 km), Lyon (bis zu 50 km), Marseille (bis zu 50 km)

Amazon Web Services (AWS)
Data & ML Architect
September 2022 - Heute (3 Jahre und 9 Monate)
Paris, France
Lead Data Architect for a leading Aerospace company: Delivered a group-wide streaming data platform & Lakehouse, targeting 100+ real-time data and AI use cases. Led Technical Architecture definition & implementation. Conducted FinOps, Monitoring & Security operations. ∗ Stack: Spark (Amazon EMR), Kafka (AWS MSK), Apache Iceberg, Lake Formation, AWS CDK, Jenkins
Lead Data Engineer for a leading Aerospace company: Migrated a Shopfloor Monitoring application to a real-time solution with 13s latency, improving the previous 24-hour delay. Designed and Implemented a data processing & exposure system to transform, consolidate and expose to a front-end app, data coming from SAP (manufacturing events) & IoT. Stack: Python, AWS Lambda, Amazon Aurora (PostgreSQL), SQS, API Gateway, dbt, Solace, AWS CDK, Jenkins
Lead 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 legacy system ingested renewable plant production data from email attachments, uploaded it to an On-Premise SQL Server, and processed it via stored procedures. The new solution replaced this with dbt and Redshift for enhanced performance. Stack: dbt, SQL (Redshift), AWS Lambda, AWS Fargate, Amazon S3 Engineer
Lead Data Engineer for a major luxury goods group: ∗ Developed and deployed a real-time customer-360 Solution for in-store and online customer profiles. ∗ Reduced synchronization time from 8 hours to 5 minutes across 6 regions with a stateful streaming processing application. Implemented "droit ` a l'oubli" GDPR rules. ∗ Stack: Flink, Java, DynamoDB, Terraform, Jenkins
AWS CDK AWS Lambda AWS Bedrock Amazon Web Services AWS SageMaker
Octo Technology (Part of Accenture)
Data & ML Consultant
ENERGIE
April 2021 - September 2022 (1 Jahr und 5 Monate)
Paris, France
• 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: Performed data analysis to identify low and underperforming stations, driving optimization of the deployment strategy for charging stations.
Snowflake AWS Athena Terraform Microsoft Power BI DBT
Rothschild&Co
Portfolio Manager Assistant
BANKEN & VERSICHERUNGEN
Januar 2020 - Juli 2020 (6 Monate)
Paris, France
• Development of Portfolio Management Tooling (Term premia Tracking, Fallen Angels, Relative Value). Credit and Quantitative Analysis
Python