Freelancer profile translated to English.
Back to original languageAbout Amel
Graduate engineer from Institut Polytechnique de Paris, I have over 5 years of experience in Data Engineering and Data Architecture. Currently, I am a System/Data Architect at Airbus, working within a SAFe train of 10 agile teams on the Skywise stack (cloud Foundry by Palantir).
Architecture Capabilities:
- Conducting implementation studies to identify impacts, challenges, and technical solutions (pros/cons) on migration topics.
- Leading Proof of Concepts (PoC) to evaluate solutions.
- Defining non-functional requirements (NFR) to ensure performance and quality.
Data Modeling and Design:
- Developing and maintaining conceptual, logical, and physical data models to structure data and meet business needs.
Design and Code Reviews:
- Reviewing designs and code to ensure solution robustness and optimize resource consumption on the platform.
Technical Migration Monitoring:
- Identifying challenges, defining roadmaps, and managing operational continuity.
Community of Practices:
- Leading technical workshops on Spark code optimization and DevOps practices.
My previous experiences as a Data Engineer/Scientist include managing Big Data frameworks such as Hadoop and Spark, designing data transformation pipelines, and developing machine learning algorithms in Python, on both on-premise and cloud infrastructures. I also participated in migration activities to Azure.
In parallel, I led a side project in the e-commerce domain on AWS, implementing a micro-services architecture and integrating services like Shopify and Zendesk for automatic ticket processing via LLMs.
French
Native or bilingual
English
Fluent
German
Basic
Can work on-site
Toulouse (up to 50km), Paris (up to 50km)
Experience
- AirbusSystem/Data ArchitectAVIATION AND AEROSPACEDecember 2022 - Today (3 years and 6 months)Toulouse, France
- Data Architect in a SAFe train on the Skywise platform with team's activities focused on data ingestion, transformation, and application development to support airline operations.
- Developed and standardized data models to unify data usage across Airbus and its partners.
- Supported migration activities to a new data governance model on the Platform in collaboration with engineering teams to identify all impacts and challenges and move forward with the roadmap definition.
- Conducted pre-implementation design reviews with engineering teams, ensuring architectural choices align with technical standards and operational requirements.
- Animated technical workshops to promote development best practices, boosting team skills.
- Start UpLead Developer / ArchitectE-COMMERCEJuly 2022 - January 2024 (1 year and 6 months)
- Developed an automated ticket handling system for e-commerce using AWS Lambda, SQS, PostgreSQL and integrating LLMs, Shopify, and Zendesk for support ticket processing.
- Programmed in Python using the Chalice framework, with continuous integration and deployment managed via Bitbucket Pipelines; ensured secure operations with AWS IAM and SSM Parameter Store.
- AirbusData Engineer / ScientistAVIATION AND AEROSPACEJuly 2021 - July 2022 (1 year)Toulouse, France
- Part of a SAFe team focused on the development of digital services for aircraft maintenance optimization, serving airline clients.
- Engineered PySpark data pipelines, developed Python machine learning algorithms for predictive maintenance and created interactive dashboards for real-time decision-making.
- Promoted best practices in development, focusing on code quality, continuous integration, and deployment efficiency.
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Education
- Engineer in Statistical Modeling and ApplicationsInstitut Polytechnique de Paris2019Mathématiques appliquées : • Statistiques paramétriques et valeurs extrêmes • Processus stochastiques • Apprentissage statistique et données biologiques en grande dimension • Modèles de Markov en signal et image • Traitement statistique des données en grande dimension