À propos de Zied
Ingénieur Data/DevOps 4 ans, grand fan de l'informatique, j'ai réalisé de nombreuses applications pour des startups et travaillé pour des grands groupes (Engie, SoLocal, NTN...). Mon champs de compétences comprend : développement back-end (Java, Python, NodeJs, ...), Infrastructure as Code(DevOps), analyse et exploitation de données (Data Engineer).
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif
Français
Bilingue ou natif
Accepte de travailler sur site
Paris 14e Arrondissement (jusqu’à 50 km), Paris (jusqu’à 20 km)
Expériences
- BpifranceTechnical LeadBANQUE & ASSURANCESjuillet 2022 - Aujourd'hui (3 ans et 11 mois)Paris, FranceResponsible for delivering cross-functional data architectures and optimized processes.
- Hire, manage, and develop a team of 8 data engineering and business analysts staff.
- Work collaboratively with product managers, product owners, and other Tech leaders to develop customer
- focus product
- Apply a data-driven approach to inform decision-making, by implementing Observability in software
- development, maintenance, and customer behavior.
- Facilitated Agile (SAFe) processes by writing and prioritizing technical tickets, leading sprint planning,
- feature alignment, and project tracking.
- Lead onboarding, and one-on-one coaching for team members, fostering professional development and
- technical growth.
- Orchestrated automated data pipelines through Airflow and Step Functions, optimizing data flow for better
- performance.
- Established CI/CD pipelines with GitLab and Jenkins, automating deployment processes for improved
- delivery efficiency.
- Built real-time data ingestion with Kafka and Spring Boot, exposing data via APIs for immediate access.
- Integrated AI tools such as ChatGPT, GitHub Copilot, and AWS Bedrock to improve team productivity and support innovation.
Technical Environment: AWS, Python, Java, Kafka, Kubernetes, Docker, Terraform, Jenkins, Datadog, ELK. - BLOOPTechnical AdvisorHIGH TECHjanvier 2023 - juin 2023 (5 mois)Paris, France
- Assist the founder with technical and implementation decisions.
- Optimized operational costs while maintaining flexibility for vertical and horizontal scalability in big data applications.
Technical Environment: AWS, Kubernetes, Python, JavaScript(NestJS), AtlasDB, Terraform, Flutter, DataDog, React. - IQVIACloud EngineerSANTÉ & BIEN-ÊTREjanvier 2022 - juillet 2022 (6 mois)Paris, FranceSupported cloud infrastructure design for a healthcare data platform, ensuring secure, scalable, and cost-efficientdata solutions.
- Led the onboarding and training of new hires, ensuring seamless integration and rapid project contributions in a fully remote, globally distributed team.
- Built and managed Azure cloud infrastructure projects with Terraform, ensuring scalability and security.
- Developed robust microservices in Golang and deployed them on Kubernetes to ensure resilience and
- availability.
- Implemented and optimized event-driven architecture using Temporal, enabling robust handling of asynchronous, stateful workflows.
- Established CI/CD pipelines with Azure DevOps, enabling efficient, secure application deployment.
Technical Environment: Azure, Go, Kubernetes, Temporal, Docker, Azure DevOps.
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Formations
- Engineer’s Degree in Computer ScienceUTBM2016Specialization in large-scale application design and deployment.
Certifications
- Exercising Leadership: Foundational Principles (EDX Harvard - LEAD1)EDX Harvard2024
- Certified Kubernetes Administrator (CKA)The Linux Foundation and the Cloud Native Computing Foundation (CNCF)2024