Description

Data & Cloud Engineer with 6+ years of hands-on experience in designing, developing, and deploying robust data solutions on cloud platforms.

Data-driven problem solver with expertise in data engineering, cloud technologies, and machine learning, delivering innovative solutions to complex business challenges.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

BNP PARIBAS
Data & Cloud Engineer
BANKING AND INSURANCE
November 2020 - Today (5 years and 7 months)
Paris, France
As an IT coach at BivwAk!, my main role is to design, test and implement solution
in order to work and collaborate effectively, with the aim to help incubate squads
to deploy their products in production quickly and efficiently.

Achievements
• Lead and coach various teams in the proper implementation of their products
• Build and document best practices in the cloud (AWS)
• Suggest, test and implement advanced solutions in alignment with the
sustainable and digital responsible commitment of BNP Paribas Group

Technologies
AWS Cloud, IBM Cloud (Red Hat OpenShift, Terraform), Pipeline CI/CD (CircleCI,
GitlabCI), Kubernetes, Docker, Kubeflow, MLFlow, Python, Jupyter Notebook,
framewoks ML, Model serving
AFNOR
Data Engineer & DevOps
July 2019 - June 2020 (11 months)
AFNOR Group wants to implement a Big Data solution to automate predictive models for three new use cases:
• UC1 : Automatically identify leads for business opportunities using artificial intelligence to improve the efficiency of users/salespeople.
• UC2: Real-time product purchase recommendation based on users' journey to offer related articles that may interest the user.
• UC3: Quality scoring model to calculate the likelihood of a person to be certified.

Achievements
• Implement a data flow manager with NiFi
• Deploy in production of Machine Learning algorithms using TensorflowServing
• Implement an End Point API to make the data science model accessible
• Deploy a docker images in production with Kubernetes
• Automate the deployment process in production with Azure DevOps

Technologies
Python - Tensoflow, SQL - PostgreSQL, Nifi, Azure DevOps, Docker, Kubernetes
Ministry of Finance
Big Data Developer
February 2018 - September 2018 (8 months)
The goal is to realize a GUI for consultation and interrogation of a Janus DB (Titan) graph base to help all the developers and supports working on databases using Big Data, namely HBase, Janus and Hive in particular.

Achievements
• Identification and proposal of the most relevant solution and GUI
• Connection and queries on HBase via HQL, Janus via Gremlin and Hive via Impala
• Iterative development of the GUI
• Design of a microservices architecture

Technologies
Java, Spring Boot, ReactJS, Hadoop, HBase, Hive, Janus (Titan)