Freelancer profile translated to English.

Description

During my studies at Epitech, I became interested in Big Data technologies.

Passionate about the deployment of big data architecture, I like to face the technical problems related to its design. (Deployment, ingestion, processing, storage, data visualization and security)

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Paris (up to 30km)

SNCF
Data Reliability Engineer
E-COMMERCE
April 2019 - August 2019 (5 months)
Lille, France
Industrialize a secure data lake as a Service

- Creation of playbook to automate the deployment of the various components of the data Lake.
- Deployment of a Kafka-connect cluster and technical documentation
- Scripted the benchmark of a Kafka cluster and the recovery of key metrics
- Industrialization of a TIG Stack to export and monitor the JMX metrics returned by the various components
Kafk Ansi Dock Kerberos
Keyrus
Consultant Data Engineer
CONSULTING AND AUDITS
October 2018 - May 2019 (7 months)
Levallois-Perret, France
Advice and audit around the problems of Big data

- Conceptualize and deploy a data Lake as a service on AWS.
- Develop a platform to pool the GPU resources of users in order to distribute Tensorflow algorithms
- Ingestion engine for source groups while respecting RGDP standards
Amazon Web Services Pyth Tenso Vagrant Docke
Vente-privee
R&D Developer
E-COMMERCE
September 2017 - March 2018 (6 months)
Le Kremlin-Bicêtre, France
Realization of the new BI architecture including Big data tools. Implement and propose recommendation algorithms related to the user journey.

- Implement all the techniques to collect, clean, organize, and model raw data effectively via a lambda architecture.
- Automation of the deployment of a Mesos cluster to abstract the management of hardware resources.
docker Spark Linux Cass Mesos Had Scala Kaf