Hamza Elouichouani

Hamza Elouichouani

DevOps Engineer @ CREDIT DU MAROC

Country

Morocco

City

Rabat

Industry

Computer Software

Skill

Gitlab, Prometheus.io, css3, AWS Lambda, Amazon CloudWatch, AWS API, MATLAB, Mathematical Modeling, Microsoft Office, Python (Programming Language), TensorFlow, Dlib, Data Entry, Soft Skills, Grafana, Virtualization, FastAPI, Software Development, Change Management, Site Reliability Engineering

Experience

CREDIT DU MAROC

DevOps Engineer

CREDIT DU MAROC

LinkedIn
2025-7 - Present · 1 yr 3 mos

Casablanca Metropolitan Area

CREDIT DU MAROC

DevOps intern

CREDIT DU MAROC

LinkedIn
2025-2 - 2025-6 · 5 mos

Casablanca-Settat, Morocco

Worked within the Digital Factory as part of the core banking migration from Sage to T24. Focused on improving CI/CD processes, observability, and automation for multiple microservices in a banking-grade environment. Where I: Deployed and configured SonarQube in a Kubernetes cluster for automated static code analysis Integrated JaCoCo for backend code coverage reporting and linked it with GitLab pipelines Built and maintained GitLab CI/CD pipelines for backend and frontend microservices Set up Prometheus and Grafana for monitoring application and system metrics Prepared Zipkin integration for distributed tracing and profiling Designed and implemented a unified testing pipeline to automate multi-layer functional testing Contributed to CI/CD across over a dozen microservices in one of CDM applications

ToumAI

Software Engineer Intern

ToumAI

LinkedIn
2024-6 - 2024-8 · 3 mos

Agdal, Rabat-Salé-Kénitra, Morocco

Developed a platform to automate the labeling of audio data, including the implementation of a CI/CD pipeline to streamline deployment and updates. The project involved collecting, processing, and transcribing audio recordings, optimizing the workflow from data collection to final output.

Institut National des Postes et Télécommunications

Intern

Institut National des Postes et Télécommunications

LinkedIn
2023-7 - 2023-8 · 2 mos

Rabat, Rabat-Salé-Kénitra, Morocco

Ce projet utilise un Raspberry Pi équipé d'une caméra pour détecter automatiquement les visages des employés à leur arrivée au bureau. Le système enregistre ensuite l'heure d'arrivée de chaque employé dans une feuille de calcul Excel. Cette automatisation permet un suivi précis des heures de présence, éliminant les erreurs de saisie manuelle et facilitant la gestion du temps de travail des employés.

Education

Institut National des Postes et Télécommunications

Institut National des Postes et Télécommunications

LinkedIn
2022 - 2025 · 3 yrs
CPGE - Classes préparatoires aux grandes écoles

CPGE - Classes préparatoires aux grandes écoles

LinkedIn
2020-9 - 2022-6 · 1 yr 10 mos
Lycée Mohammed VI d'Excellence

Lycée Mohammed VI d'Excellence

LinkedIn

Sciences et Technologies Électriques

2017-9 - 2020-6 · 2 yrs 10 mos

Hamza Elouichouani's Contact Information

Email

******@***.com

Phone

(**) *** ****

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