Keran Asseko Nguema

As Lead Data Engineer,

My role was to work with my team to design and build a Data Cloud platform to replace their internal infrastructure. Once the new Cloud Platform is in place the goal is to respond to Data Science et Data Visualisation use cases directly from the Cloud.

This Data platform was centred on tools such as Snowflake as a Data Warehouse, DBT and Airflow as orchestrators, Sifflet for monitoring and data quality, Terraform for the complete architecture of the environment.

En tant que Lead Data Scientist, mon rôle était de former une équipe de Junior Data Scientist interne et de les accompagner dans la mise en place d'un modèle de segmentation client et prospects ainsi qu'un modèle de recommandation d'offre d'achat immobilier automatisé dans un environnement Google Cloud.

Integration in the BI Data Engineer team as a transverse support member being able, principally working in ETL pipelines and data transformation for the business needs. I was able to work in all the main activity domains at theFork.

My daily workload consist into :

Creating or modifying existing ETL transformation and then deploy them on Airflow

Organising data model and architecture to make the data safer, accurate and more performant when queries are run on it

Main tools: Snowflake, Tableau, Airflow, Github