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Amine BenyoucefAB

Amine Benyoucef

SAP S/4HANA Consultant | Data & Analytics

€600/day
Paris, FR
3-7 years
SAP S/4 HANA
SAP HANA
SAP ABAP
ETL
SQL

Average response time: 1 hour

Freelancer profile translated to English.
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About Amine

SAP S/4HANA & Data Engineering Consultant — Junior/Confirmed
📞0635229372000
With a background in data engineering, I honed my skills in a demanding industrial environment at Safran Electronics & Defense (2 years) as well as in a tech SME (Witech).
I will support you on your SAP and data projects with a dual technical and functional role.
Areas of intervention:
→ SAP S/4HANA Projects: configuration, testing, data migration, user support
→ Data Engineering: ETL pipeline design, data flow automation
→ Reporting & Analytics: decision-making dashboards, KPI reporting
→ Automation: scripts and data integration between SAP and third-party systems
Functional Skills:
Business needs gathering, writing functional and technical specifications, unit and integration testing (SIT), user acceptance testing (UAT), SAP Activate methodology.
Technical Stack:
SAP S/4HANA, SAP HANA, SQL, Python, Power BI, AWS, Docker, Git.
Sectors: Aeronautics & Defense, Industry.
📍 Paris | Available for staff augmentation or fixed-price projects.
Aerospace
Defense and Military
Environmental and Sustainable Development
Consulting and Audits

  • French

    Native or bilingual

  • English

    Fluent

  • German

    Basic

Can work on-site
Paris (up to 20km)

Experience

  • Safran Electronics & Defense
    Data Engineer Health Monitoring
    AVIATION AND AEROSPACE
    September 2024 - Today (1 year and 9 months)
    Massy, France
    Integrated within Safran Electronics & Defense, I designed and deployed data solutions for predictive maintenance and real-time monitoring of critical industrial equipment (avionics and defense electronics systems).
    SAP HANA Aspect:

    Creation of analytical views (Calculation Views, CDS Views) to expose maintenance data to business teams.
    Development of stored procedures in SQLScript to automate large data processing in SAP HANA.
    Optimization of SQL performance on tables with several million records.
    Management of the complete delivery cycle: development, unit tests, QA validation, transport, and production deployment (DEV → QA → PRD).
    Translation of business needs into technical specifications in conjunction with SAP functional consultants.

    Data Engineering Aspect:

    Construction of automated ETL pipelines (Python, Pandas, SQL) to collect, clean, and centralize data from heterogeneous sources (IoT sensors, internal databases, flat files).
    Storage of unstructured data (sensor readings) in MongoDB.
    Power BI dashboards connected to SAP HANA and MongoDB for real-time monitoring of maintenance and availability KPIs.
    Automation of reports and alerts to anticipate failures.

    Collaboration with multidisciplinary teams (maintenance engineers, data scientists, production) to frame needs and deliver within the security constraints of the defense sector.
    Environment: SAP HANA, S/4HANA, SQLScript, CDS Views, Python, SQL, MongoDB, Power BI, Git.
    SAP S/4 HANA CDS Views SAP SQL Microsoft Power BI
  • Capgemini Consulting - Capgemini Invent
    AI & Systems Engineer
    AUTOMOBILE
    September 2025 - February 2026 (5 months)
    Paris, France
    As part of an R&D Capgemini team, I designed and developed an intelligent control system for the thermal regulation of PEMFC fuel cells, a critical component in industrial energy systems.
    Modeling & AI Aspect:

    Development of a control system combining Machine Learning and Fuzzy Logic to regulate temperature in real-time, improving the system's thermal stability.
    Design of LSTM predictive models using Matlab/Simulink to anticipate thermal constraints with an accuracy of 1.5°C, optimizing equipment lifespan.
    Training and validation of models on historical sensor datasets, including preprocessing, feature engineering, and hyperparameter tuning.

    Data & Automation Aspect:

    Complete automation of the sensor data collection and preprocessing chain using Python, reducing data preparation time from several hours to a few minutes.
    Implementation of automatic validation scripts to detect anomalies and drifts in sensor readings before injection into the models.
    Comprehensive technical documentation of the system to ensure maintainability and knowledge transfer to Capgemini teams.

    This project allowed me to develop solid expertise in real-time industrial data processing and predictive maintenance — skills directly applied in my SAP HANA missions at Safran.
    Environment: Python, Matlab/Simulink, LSTM, Machine Learning, Fuzzy Logic.
    Python Matlab/Simulink LSTM Machine learning fuzzy logic

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Education

  • Engineering Degree
    Ecole Centrale d'Electronique
    Majeure Data & Intelligence Artificielle. Formation d'excellence combinant mathématiques avancées, Big Data et développement logiciel. Projets concrets sur les architectures Cloud, le Machine Learning et les pipelines de données (ETL)
  • Preparatory Class for Engineering Schools MP
    Lycée Saint-Exupéry
    2023

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