Jonathan Marette

Mission: Implementation of the Vehicle Registry platform aimed at activating connected vehicles, and decommissioning old systems, some running on Mainframe, to create functional clones or new tools. This new platform is based on more modern technologies and runs on GCP.

Project Team: 19 people

* 7 Data Engineers & Back-End Developers

* 1 Front-End Developer

* 1 Tech Lead

* 2 Intern Developers

* 1 QA Architect

* 1 Solution Architect

* 1 PO

* 2 PL

* 1 Proxy PO

* 2 ABA

Role and Responsibilities:

* Implementation of an event-driven processing chain initially planned for the activation of connected vehicles in production and after-sales.

* Decommissioning of the BVM after-sales system.

* Decommissioning of the ETICOM commercial call system.

* Ingestion of data sources describing vehicles and their IoT data.

* Definition of project architecture based on new needs, and exchanges with external stakeholders.

* Writing and maintaining technical and functional documentation.

* Acceptance testing of new developments.

* Daily monitoring of the production environment.

Mission: Implementation of the Full Track & Trace platform, dedicated to ingesting and exposing Renault Group traceability data on a large scale, for the Logistics and Manufacturing divisions. This is the first Renault Digital project to be implemented on GCP.

Project Team: 20 people

* 10 Data Engineers

* 2 Front-End Developers

* 1 DevOps

* 1 QA Architect

* 3 POs

* 2 PLs

* 1 Scrum Master

Role and Responsibilities:

* Ingestion and enrichment of various data sources relevant to traceability.

* Implementation of the Pandora data model, designed to generically store Renault Group data for cross-business domain analysis and archiving.

* Implementation of datamarts by business domain, designed to store transformed/aggregated data optimally for delivery to end-users.

* Creation of Angular applications and APIs by business domain for end-users.

* Implementation of platform-managed tools to facilitate data exploitation, including:

- Angular web project templates.

- Angular web component library.

- API project templates for data exposure.

- Data ingestion tool libraries using the Scala / Spark / Dataflow / GCP ecosystem.

Mission: Creation of a POC to retrieve customer feedback, with the aim of improving the performance of a Machine Learning model optimizing emergency billing.

Project Team: 3 people

* 1 Front-End Developer

* 1 Data Scientist

* 1 Project Manager

Role and Responsibilities:

* Provision of a web application in SSR (Server Side Rendering) and a dedicated API.

* Implementation and management of the PostgreSQL database.

* Deployment and maintenance of the system.