Anas Katar

As part of my assignment at NN Bank, I joined the Mortgage Data Lake team as a Data Engineer in an Azure Cloud environment.

My main role was to design, develop, and maintain robust and scalable data pipelines to feed the data lake dedicated to mortgage activities. I worked on the ingestion, transformation, and provision of data from various internal sources, using Azure services such as Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.

I also collaborated closely with business teams, Business Analysts, data governance, and compliance teams to ensure data quality, security, and traceability in a regulated banking context.

At Danone, I held the role of Data Engineer within a strategic project carried out in collaboration with the Human Resources department.

My main objective was to structure and industrialize HR data flows in an Azure Cloud environment. I implemented automated data pipelines using Azure Data Factory and Databricks, allowing for the centralization, transformation, and valorization of data from multiple HR systems (HRIS, talent management tools, etc.).

This work improved the reliability of HR reporting, facilitated predictive analysis on key topics such as internal mobility or talent retention, and ensured better data governance in compliance with GDPR standards.

At La Poste Mobile, I participated as a Data Engineer in a project to migrate data platforms to Azure Cloud.

The objective was to modernize the existing data infrastructure to gain scalability, performance, and agility. I contributed to the redesign of traditional ETL pipelines into cloud-native workflows using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

My role also included migrating data from on-premise databases to Azure Data Lake Storage, ensuring data quality, traceability, and security throughout the process. This strategic project allowed the company to lay the foundation for a modern analytical platform, facilitating data access for business and technical teams.