Freelancer profile translated to English.
Back to original languageAbout El Ouadghiri
With a solid background in data, I have acquired mastery in a wide range of technologies.
I started my career as a data engineer, working primarily with Scala/Python, before diving into optimization and Machine Learning projects. More recently, I have worked on DevOps projects, automating deployments in Azure DevOps using Terraform and YAML files. In addition to this, I also have experience in setting up infrastructures for topics related to Artificial Intelligence and Data.
My versatility and commitment to staying up-to-date on new technologies make me a valuable asset to any team.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- engieData ArchitectENERGY AND UTILITIESAugust 2024 - Today (1 year and 10 months)Paris, FranceBuilding a Data Platform and migrating old projects (in dataiku) to the new platform
- Leading technical architecture workshops:
- Writing associated documents (HLD, LLD, etc.).
- Co-piloting Data topics
- Technical scoping of data projects
- Design and implementation of Big Data solutions and the entire associated industrial foundation (CI/CD, standards, ...)
- Cloud governance: automation (CI/CD pipelines), security / compliance (DevOps, SecOps)
- Creating deployment templates in GITLAB for use in new projects
- Developing a massive data ingestion solution in python
- ThalesData ArchitectFebruary 2024 - July 2025 (1 year and 5 months)Paris, FranceUsing ATHEA's ARTEMIS.IA platform to develop a Big Data solution
- Leading technical architecture workshops
- Writing associated documents (HLD, LLD, etc.).
- Co-piloting Data topics
- Technical scoping of data projects
- Design and implementation of Big Data solutions and the entire associated industrial foundation (CI/CD, standards, ...)
- Cloud governance: automation (CI/CD pipelines), security / compliance (DevOps, SecOps)
- Creating deployment templates in GITLAB for use in new projects
- Developing a massive data ingestion solution in Kubernetes using Python
- COLASDATA SCIENTISTCIVIL ENGINEERINGMarch 2023 - January 2024 (10 months)Paris, FranceProject: Implementation of CHATGPT POCs at ColasAs a data scientist at Colas, I was in charge of an innovative project aimed at strengthening data security and optimizing tender management through the implementation of GPT-4 based POCs. I worked on two key areas:The ColasGPT project, which involved creating a chat interface, replicating ChatGPT's interface, but with GPT-4 deployed within our subscription. This allowed all data to be kept internally, eliminating any risk of leakage.The development of a tender analysis tool based on GPT-4. This tool reads, analyzes a tender, and automatically produces a pre-built Excel file with answers to the necessary questions. This significantly improved our efficiency and speed in responding to tenders.The technological environment included Azure DevOps, web apps, Azure Functions, PostgreSQL server, SQL server, SQL Database, SignalR, Virtual Network, Azure Storage with Python as the primary programming language and the Streamlit framework. This project demonstrated my ability to implement innovative solutions to solve complex data management and process optimization problems.
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Education
- Master of ScienceUniversité Paris-Saclay2020Master en sciences pour l'ingénieur,
- Engineering Degree (Industrial Automation and Computer Science)École Mohammadia d'Ingénieurs2018Diplôme d'ingénieur (Automatique et Informatique Industrielle)