Yohan Bouali

Within the EDF Renewables Data Lake platform, I joined the Solar Curation team, responsible for industrializing the extraction, transformation, and provision pipelines for 10-minute data from systems connected to the group's photovoltaic parks. This team is a strategic link in the data value chain, ensuring the reliability and accessibility of solar asset production and performance data.

For two years, I was part of the Personalization Use Case team within the Data department of France Télévisions' Digital Division, where I contributed to the implementation and industrialization of large-scale personalization and marketing targeting use cases.

In this context, I designed and developed a centralized user repository, which became a strategic data asset used daily by CRM teams to drive personalized marketing campaigns and optimize user experience across the group's digital platforms. This repository is built on robust, scalable, and maintainable data pipelines, developed in PySpark and structured according to a bronze, silver, and gold layered lakehouse architecture, ensuring data quality, traceability, and processing scalability.

I also played a key role in making treatments GDPR compliant by integrating regulatory requirements from the design phase: anonymization and pseudonymization of sensitive data, secure data flows, granular control of usage, and automated cleaning and purging mechanisms. This 'privacy by design' approach ensured compliance of promotional campaigns while strengthening user data protection, a central issue for a public service audiovisual broadcaster.

Beyond the technical aspects, this mission allowed me to collaborate closely with CRM, marketing, and DPO teams, and to contribute to fostering a data-driven culture to enhance campaign performance and user experience quality on the group's platforms.

Within Renault's Parts and Accessories Logistics Division (DLPA), I joined the Big Data team responsible for modernizing the logistics data platform, in the context of a strategic migration from an on-premise ecosystem to Google Cloud Platform. I actively participated in the design and industrialization of critical logistics flow ingestion and processing pipelines (orders, shipments, deliveries, returns), leveraging GCP services (Cloud Storage, Dataproc, Airflow, BigQuery).

Alongside the technical challenges, I contributed to optimizing the performance and cost of analytical processing by rewriting complex BigQuery SQL queries, as well as maintaining and monitoring a Java backend connected to MongoDB that powered operational dashboards.