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Mounia AziziMA

Mounia Azizi

Cloud Data Engineer

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mounia

Cloud Data Engineer with significant experience in optimizing data pipelines and building Business Intelligence solutions on GCP. Expertise in using BigQuery, DBT, and Looker to meet complex business needs. Ability to orchestrate efficient workflows and automate deployments to ensure data quality and availability. Participated in managing GCP infrastructures via Terraform to enhance the automation and reproducibility of environments.
  • French

    Native or bilingual

  • English

    Fluent

  • Arabic

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • SERVIER,
    Cloud Data Engineer
    PHARMACEUTICALS INDUSTRY
    June 2024 - Today (2 years and 2 months)
    Suresnes, France
    Context:Project carried out within the R&D Data Factory aimed at centralizing, structuring, and valuing scientific data to enable researchers to explore relationships between genes, pathologies, and treatments more quickly. The ETA application is a tool for exploring, analyzing, and visualizing ingested data.
    Achievements:
    • Contribution to infrastructure evolution with **Terraform**: creation of buckets, datasets, tables, automated transfers, and environment management.
    • Development and maintenance of data models withDBTto structure, filter, and prepare data for scientific teams.
    • Design of scientific data visualization and exploration interfaces via **Streamlit**, to facilitate analysis and accelerate research.
    • Contribution to improving pipeline performance and centralizing data to enhance access, reliability, and reuse by researchers.
    *CI/CDwith GitLab: versioning of Docker images (DBT, ingestion), automated execution pipelines to test, build, and deploy Argo workflows and DBT models.
    Terraform BigQuery DBT Python Gitlab CI/CD
  • Carrefour
    Cloud Data Engineer
    RETAIL (LARGE RETAILERS)
    October 2021 - June 2025 (3 years and 8 months)
    Massy, France
    Project:Data Shopper
    Context:Data Shopper is an analytical platform for Carrefour suppliers, enabling them to track, analyze, and optimize their commercial performance. The project aims to centralize sales, promotion, and market share data, then expose it via a robust semantic layer and interactive dashboards to help partners drive their commercial strategies and improve their in-store presence.
    Achievements:
    • Development and maintenance of data models with DBT and Looker, ensuring business needs are met.
    • Optimization of queries and creation of insights through Explores and dashboards.
    • Automation of DBT image deployment via GitLab CI/CD.
    • Orchestration of workflows with Cloud Composer and implementation of the Blue-Green Refresh strategy to ensure continuous data availability.
    • Deployment and management of GCP infrastructures with Terraform, including automated creation of buckets, service accounts, and IAM roles for securing and industrializing data environments.
    • Implementation of an automated source data copy strategy ensuring synchronization of development and testing environments.

    Project:Business Review
    Context:Business Review is a strategic reporting solution for Carrefour management, offering them a consolidated view of supplier commercial performance.
    Achievements:
    • Creation of dynamic reports with.
    • Design of advanced data models with DBT and development of custom KPIs.
    • Development of a Python application for ETL automation and decision tree implementation.
    • Management of workflows with GitLab CI/CD and Cloud Composer for efficient automation.
    Python DBT Looker Google Cloud Platform (GCP) BigQuery
  • :Stage PFE, CUSTOMS BRIDGE,
    DATA Scientist | Python Developer
    TRANSPORTATION
    April 2021 - September 2021 (5 months)
    Lille, France
    Project:Creation of a textual, semantic, and artificial intelligence search engine for customs classification of products.
    Achievements:
    • Preparation and processing of massive data using NLP techniques, ensuring the quality and relevance of data for model training.
    • Performance analysis of search engines.
    • Implementation and development of microservice APIs facilitating the integration of different system components.
    • Design and development of CI/CD pipelines for automating application testing, integration, and deployment, thus ensuring the quality and reliability of deliveries.
    AWS PostgreSQL PySpark Fast API Python

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Education

  • Master Advanced Communication Systems (ACS)
    ISAE-SUPAERO
    2022
    Master Advanced Communication Systems (ACS)
  • University exchange, BIG DATA and IOT Infrastructure
    INP-ENSEEIHT
    2022
    Échange universitaire,Infrastructure BIG DATA et IOT

Skill set

Categories