Freelancer profile translated to English.
Back to original languageAbout Ahmed
Data & AI Engineer – Data Transformation and Valorization
Are you looking for an expert who cantransform your data into levers for performance and innovation**? As a **Data & AI Engineer**, I assist companies and organizations in implementing **modern, reliable, and scalable architectures**, leveraging the best of **cloudandartificial intelligencetechnologies.
- **Ingestion & Transformation**: Design of robust ETLs and pipelines to structure and validate your data flows.
- **Storage & Governance**: Implementation of centralized repositories with fine-grained access control and database versioning, ensuring security and service continuity.
- **Cloud & Performance**: Proficiency in AWS (S3, ECR, Lambda, Glue, CloudWatch, SNS), SQL optimization, load balancing (PgBouncer), and containerized deployments (Docker).
- **Analysis & Valorization**: Reporting, data visualization, and development of predictive AI solutions for decision support.
I have worked inhealthcare(GAP data, AI projects for decision support),transportation(centralized data repository, PostgREST, SQL APIs), andcybersecurity(mapping, analysis, and visualization of network data). This diverse sectoral experience allows me to bring a global perspective and solutions tailored to each client's needs.
What sets me apart?
A dual expertise inData Scienceand **AI**, combined with a strong project-oriented approach (structuring, automation, governance). I design not only technical solutions but also tools that truly integrate into your business processes and create measurable value.
French
Native or bilingual
English
Native or bilingual
Arabic
Conversational
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- Kiwee.careData & AI EngineerMEDICALSeptember 2025 - Today (9 months)Paris, France- Implementation of a modern ETL to replace a monolithic architecture, with standardized processing and a configuration-driven architecture approach ensuring scalability and maintainability.- Design of robust data pipelines for managing and valorizing GAP data, including validation with Pydantic, storage, and orchestration via AWS services (S3, ECR, Lambda, SNS, Glue, CloudWatch).- Development of predictive artificial intelligence solutions for decision support, integrated into business processes and focused on value creation.
- EnfrasysJunior Data EngineerTRANSPORTATIONMay 2025 - September 2025 (4 months)Lyon, France- Implementation of a centralized data repository for a public transport company, serving as a single foundation for all internal services.- Design of a database versioning system, allowing different services to use distinct versions (e.g., service 1 on v1.0, service 2 on v1.1) while remaining on the same infrastructure.- Deployment of PostgREST to expose complex SQL views and allow data access via standardized APIs.- Optimization of SQL queries and implementation of load balancing with PgBouncer to improve performance and resilience.- Execution of performance tests in a Dockerized environment, including automated deployment of test scripts and analysis of results.- Design of analytical reporting with graphical visualizations to evaluate performance and support decisions.- Implementation of fine-grained access rights and governance, ensuring security and compliance in the use of the repository.
- Orange CyberdefenseData Analyst EngineerCONSULTING AND AUDITSFebruary 2024 - August 2024 (6 months)Lyon, France- Redesign of the entire mapping process, covering the entire processing chain, from collection to display.- Implementation of optimized solutions for structuring, processing, and visualizing data effectively.- Creation of network analysis scripts.- Analysis of network capture data.- Creation of scripts for automated generation of BI dashboards.
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Education
- Computer Science Engineering DegreeINSA Group2024Formation spécialisée en Big Data et data engineering comprenant : - Bases de données massives et SQL avancé - Hadoop et Apache Spark pour le traitement distribué de données - ETL et pipelines de traitement de données - Data warehousing et modélisation de données - Analyse et visualisation de données - Introduction au Machine Learning et à l’IA appliquée aux données massives Projets pratiques de collecte, traitement et exploitation de grandes volumétries de données
- Semester Abroad BigData CourseUniversitat Politècnica de València2023- Développement de solutions d’IA pour l’analyse de sentiment, la classification et la génération de données via GAN - Traitement distribué de grandes volumétries de données avec Hadoop et Apache Spark - Optimisation de pipelines Big Data et expérimentation sur des datasets réels
Certifications
- Learning AI through visualizationColumbia University2025