Mahdi M.

At BPCE as a Senior Cloud Data Engineer since June 2023, I primarily work on a project called Data Factory. My role involves designing and developing data pipelines in an industrialized environment, processing massive data volumes (several terabytes) related to customer databases, mainly on BigQuery using SQL stored procedures.

My main responsibilities include:

This position requires strong technical expertise and the ability to collaborate with different teams to deliver robust and high-performing data solutions.

Within the Compass Project with the Finance teams. L'Oréal's financial reports contain data on their global sales, as well as detailed sales figures by product category, geographic region, and sales channel (e.g., retail stores, online sales). The mission consists of (using GCP) collecting and storing this sales data in batch or streaming, cleaning and transforming this data, and ingesting it into BigQuery for analysis and availability to BI teams.

Within the DAP Project using customer, transaction, and credit data. This involves collecting, storing, processing, securing, and modeling data to support data analysis and decision-making. I worked closely with data analysis teams to ensure data is used effectively to improve LCL's operations and provide quality banking services to its customers.