About 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).
English
Fluent
Arabic
Native or bilingual
French
Native or bilingual
Can work on-site
Paris 14e Arrondissement (up to 50km), Paris (up to 20km)
Experience
- BpifranceTechnical LeadBANKING AND INSURANCEJuly 2022 - Today (3 years and 11 months)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 AdvisorTECHJanuary 2023 - June 2023 (5 months)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 EngineerHEALTH AND WELLNESSJanuary 2022 - July 2022 (6 months)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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Education
- 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