Yacine Krissi

Pilotage et maintien en conditions opérationnelles de la CDP sur les flux clients (fidélité, données digitales, segmentation…). Conception et développement de solutions sur Databricks et Power BI pour automatiser le reporting et garantir la qualité des données. Mise en place et gestion de l’environnement Azure (RBAC, DevOps, Power Platform). Encadrement d’une équipe, gestion des demandes métiers et coordination des évolutions techniques et correctives. Interlocuteur privilégié entre les équipes IT, métiers et la STIME, avec une attention constante portée aux SLA, à la qualité de service et à la gouvernance des données.

- Managing the technical design and development of the team for a solution meeting the regulatory needs of Caisse des Dépôts in relation to the European Taxonomy. - Ensuring the technical part of the backlog. - Developing in Python/PySpark the ETL pipelines for building the Data Warehouse and building a Data mart to give users rapid access to business objects. - Defining and developing technical solutions (good code practice, architecture, data modelling, etc.) - Managing production launches, ensuring that the various phases are completed. - Ensuring the integrity of Gitflow

- Setting up a Lambda architecture on Azure: setting up service benchmarks: e.g. Synapse vs Databricks, developing PoCs, etc. - Commissioning and configuring Azure services using infrastructure as Code - Building a Lakehouse on Synapse: developing pipelines with code in Scala and analysis in Pyspark - Developing Datadog dashboards and alerts to monitor services in production - Documenting all the services implemented, how they work and the searches carried out

- Designing and implementing use case architectures for the business (customs) in line with the needs of data scientists and customs infrastructure standards. - Develop the data engineering part of the use cases: collect the data, process it and adapt it to the data scientist's models. Use case themes developed: identification of fraudulent links using a graph tool, OCR, webscraping, fraud detection, etc. - Working alongside data scientists: improving their technical environment, benchmarking solutions (geocoding, graphs, etc.), providing guidance on best practice, etc. - Optimising code developed in Python, Pyspark, etc. - Industrialising the applications developed: preparing the MOA and PROD VMs, adapting the code structure

Aide aux devoirs ainsi qu'un approfondissement des cours à des élèves de 4ème à Terminale (S, ES)

Dans une équipe d'architecture logicielle - Intégration continue et déploiement continu avec Gitlab CI sur des projets divers - Utilisation d'autres technologies telles que: Docker, Cloudfoundry, Openshift, Artifactory