Freelancer profile translated to English.
Back to original languageAbout Moad
Data Engineer & ML | Reliable Pipelines, Dashboards & Production ML | BigQuery, Airflow, DBT, Python
Do you have data everywhere but no one uses it? Reporting that takes 3 days to do manually?
ML models that remain POCs?
I help teams transform their chaotic data into reliable pipelines, decision-making dashboards, and production ML models.
I am a Data Engineer & Data Specialist specializing in Python, SQL, ETL, data architecture, and ML.
I work on the entire lifecycle from raw ingestion to production to build scalable, reliable, and business results-oriented solutions.
I work on issues where:
- pipelines are unstable or costly to maintain
- data lacks reliability and governance
- dashboards exist but no one uses them
- ML models remain at the POC stage (not in production)
- decisions lack intelligence (no predictions)
This diversity allows me to cover the entire lifecycle:
data ingestion → transformation → decision-making reporting → ML production.
🛠️ What I do concretely
- Design of robust data pipelines (Airflow, DBT, Python)
- Scalable data warehouse architecture (BigQuery, Snowflake)
- Business-oriented decision-making dashboards (Power BI, Metabase)
- Production ML models (classification, prediction, clustering)
- Intelligent monitoring with LLM (contextualized anomaly detection)
- Treatment reliability (monitoring, error management, governance)
- Implementation of data & ML CI/CD
- Cloud performance and cost optimization
💡 I transform your chaotic data into a competitive advantage:
reliable pipelines, dashboards that are used, productive ML models, actionable artificial intelligence.
End-to-end expertise, from raw data to production on cloud (GCP, Azure), ML & LLM applications.
→ Contact me to discuss your needs.
French
Native or bilingual
English
Fluent
Can work on-site
Lyon (up to 50km), Marseille (up to 50km), Lille (up to 50km), Toulouse (up to 50km), Paris (up to 50km)
Experience
- UpworkData EngineerRETAIL (LARGE RETAILERS)December 2025 - Today (8 months)Lyon, FranceLaunched freelance career with involvement in various data projects.Main missions:- Audit and structuring of data infrastructures (ETL/ELT)- Implementation of Airflow pipelines and orchestration- Creation of dashboards for decision-making- Scalable data warehouse architectureKey results:4+ projects successfully completedSatisfied clients (various sectors: fintech, retail, services)Real-time pipelines deployed-50% to -70% reporting time for clientsStack used: Python, Airflow, BigQuery, Snowflake, Power BI, dbt
- LSIGData ScientistHEALTH AND WELLNESSSeptember 2022 - September 2025 (3 years)Development of an artificial intelligence solution for early detection of prostate cancer, using heterogeneous and sensitive medical data.
- Utilization of digitized biopsy slides (Whole Slide Images), scanned medical documents, anatomopathological reports, and biological analyses.
- Design and industrialization of Python pipelines capable of processing multimodal unstructured data (text and image...).
- Extraction of information from scanned documents (OCR), parsing, cleaning, normalization, and structuring of clinical data.
- Development of a Deep Learning model for medical image segmentation and classification, including preprocessing, augmentation, and performance evaluation.
- Comparative study of several CNN and Vision Transformers (ViT) architectures to analyze performance, robustness, and generalization capabilities.
- DeltamuData Engineer – Predictive MaintenancePHARMACEUTICALS INDUSTRYNovember 2023 - July 2024 (8 months)Clermont-Ferrand, France
- Design and development of Python pipelines for collecting and integrating industrial data from IoT sensors.
- Data modeling and optimization of ETL / ELT flows
- Implementation of data quality controls and monitoring (Streamlit...)
- Populating Data Lakes and Data Warehouses.
- Design of statistical models for industrial anomaly detection.
- Integration of Machine Learning models to automate repetitive tasks and improve diagnostic accuracy.
- Large-scale testing and validation of system robustness on massive industrial data volumes.
- Data exploitation and valorization.
- Reduction of energy costs by 25% and production costs by 20% through data-driven solutions.
- Documentation of flows and operational procedures.
- Direct contribution to the improvement of industrial quality through innovative analytical solutions.
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Education
- Specialized MasterInstitut national polytechnique Clermont Auvergne2024Expert en sciences des données
- MasterFSDM2022Informatique décisionnelle et vision intelligente (MIDVI)
Certifications
- Use Apache Spark in Microsoft FabricMicrosoft2024