Cédric Laguerre

Within the Data Factory of Crédit Agricole Techniques et Services (CATS), my role was to provide technical tooling and support the 39 regional banks in the use of a Big Data platform for experimentation purposes (anti-money laundering, credit card fraud, anonymization, GDPR purging, customer journey, etc.).

As a Data Engineer within an agile team, I participated in the improvement of a purging tool for GDPR regulations, the implementation of CI on our various OpenData data ingestion applications to facilitate the migration from HDP cluster to CDP, and the implementation of dashboards on metrics to monitor ML algorithms on atypical customer behavior (anti-money laundering).

Providing a Datalab platform where banking stress tests are run with time constraints, evolving needs, and the platform's opening to other types of use cases. Different environments had to be created (development, integration, pre-production, production).

As a Data Engineer within an agile team, my main role was to support the business on any issues encountered on the platform (performance, optimization, training), ensuring the proper functioning of services, and good use of the Datalab in a BNPP context. To do this, I had to work on developing a Hadoop cluster monitoring and alerting tool, as well as implementing a data archiving system via Dataiku DSS. Finally, it was necessary to ensure the continuous improvement of the product by industrializing certain processes (upgrades, governance strategy), while ingesting new regulatory data every quarter.