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.

As Lead Data Scientist, my role was to train an internal Junior Data Scientist team and guide them in the implementation of a customer and prospect segmentation model as well as an automated real estate purchase offer recommendation model in a Google Cloud environment.

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