Nour El Houda Zribi

Within MMB, I contributed to the establishment and maintenance of our data platform, leveraging AWS for cloud solutions, Terraform for infrastructure management, and Python for script development and task automation. At the same time, I participated in the acquisition process of CCF by MMB, an initiative that required careful integration and harmonization of the IT systems of both companies. My work participated in adapting our platform to support an increased and more complex data load, thus ensuring the continuity of operations and the efficiency of our data infrastructure during this transition period.

As part of the acquisition of the INSEEC school and its transformation into OMNES, I was involved in the complete redesign of the information system. My main contribution was the concretization of the data model and the implementation of data transport via Microsoft Azure Data Factory. This crucial project aimed to ensure operational continuity while the information systems of INSEEC and OMNES coexisted and merged. I manipulated and integrated critical data, ensuring the survival and smooth transition of the two information systems to a unified platform, while meeting the new management and operation requirements of the educational institution.

In response to the new legislation imposing differentiated rates for off-peak and peak hours, I developed an automated system for calculating these rates. The project started with data scraping via an external API, followed by the execution of ETL processes to clean and structure the data. I also contributed to the development of a new API that facilitates access to and application of updated rates. This system ensures compliance with new legal standards and improves transparency for consumers.