Freelancer profile translated to English.

Description

Always very attentive to needs, I am able to quickly propose adapted and innovative solutions.

With over 5 years of experience on AWS, my expertise is all the more sharp on projects in the cloud or if there is a desire to migrate to the cloud.

From ingestion to visualization, I can advise and implement the right technologies and the right storage so that your data pipelines are as efficient as possible.

Available in Lille.

Available throughout France and abroad in remote or partial remote.

Do not hesitate to contact me to send you my more detailed CV.

Software Engineer

- Python (poetry, pylint, mypy, pytest, fastapi, asyncio)

- Java

Data

- Streaming: Kinesis, Apache Flink, Redis

- Extract, Transform, Load: Matillion, dbt, Glue, Athena

- Storage: DynamoDB, RDS

- Data Warehouse: Snowflake, Redshift

- Pipeline/workflow (Step Functions)

- Visualization: Quicksight, Metabase

Cloud

- AWS: S3, SQS, SNS, Lambda, ECS, ECR, Fargate, Api Gateway

Network & Security

- AWS: VPC, VPN, Transit Gateway

- AWS IAM, Snowflake roles

DevOps

- CI/CD: Git, GitHub Action, Jenkins, Gitlab CI/CD

- Infra-As-Code: Terraform

- Docker

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 40km), Lille (up to 40km)

O'sorty
CTO | Data, Cloud, Software, Mobile Engineer
December 2023 - July 2025 (1 year and 7 months)
Subject: Creation and development of O’sorty, a mobile application dedicated to the discovery and planning of cultural outings. The application allows users to explore venue programming and discover upcoming events. Design of the technical infrastructure with a FastAPI backend, a Flutter frontend, and a cloud architecture on AWS. Integration of an interactive map with Mapbox and implementation of an event indexing engine. Deployment of the application on the App Store and Play Store.
Data model setup and complete data pipeline setup under an event-driven architecture based on S3 - SQS - Lambda.
Setup of observability and analytics.

Technologies used:
AWS: Lambda, RDS PostgreSQL, DynamoDB, S3, ECS, Fargate, ECR, Incognito, Secrets Manager, IAM, SQS, SNS, CloudWatch, CloudFront
Python: FastAPI, Pydantic, SQLModel (sqlachemy), Anyio, …
Flutter/Dart: riverpod
Terraform - Docker - Git
Engie Digital
Development and architecture of real-time and batch data pipelines on AWS
ENERGY AND UTILITIES
January 2022 - October 2023 (1 year and 9 months)
Paris, France
Data & Software Engineer | Data & Cloud Architect

Subject: Ingestion of data from IOT (solar panel, electric meter, boiler, etc.) from different providers and transforming it to make it accessible in a single format through an API interface (REST). Also managing a streaming flow exposed via an SSE server. Industrialization of machine learning algorithms sourced from a data lake.

Client's challenges: Scalability, optimization, and cost control of the infrastructure.

Technologies used:
AWS (Lambda, Kinesis, DynamoDB, S3, Fargate, API Gateway, Incognito, Secrets Manager, IAM, SQS, SNS, Glue) - Python - Apache Flink - Apache Spark - Git - Github Action - Jenkins - Terraform
Primobox
Deployment of a data platform in 4 weeks
SOFTWARE PUBLISHING
January 2022 - January 2022 (1 month)
Lead Data Engineer

Subject: Implementation of a data platform in the cloud:
-> data ingestion to Snowflake
-> data warehouse construction with the ELT tool Matillion
-> data visualization/exploration with Metabase

Client's challenges: Automate certain use cases such as customer billing, have the ability to perform analytics on their data, and allow their teams to access data conveniently and quickly.

Technologies used:
AWS - Snowflake - Matillion - Metabase - Terraform - Gitlab CICD