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Mohamed E.ME

Mohamed E.

Data Engineer | Expert SQL, Python, AWS, Airflow

€520/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mohamed

Freelance Data Engineer - SQL | Python | AWS | Airflow | ETL

Looking for a Data Engineer capable of designing and automating your ETL/ELT pipelines, with a real focus on quality, performance, and business impact?
I will support you from start to finish: ingestion, transformation, cloud storage, orchestration, CI/CD.

What I offer:
- Multi-source data integration.
- ETL/ELT pipeline design.
- Orchestration with Airflow.
- Big Data management with Spark on Databricks (Lakehouse with Delta Lake).
- Data modeling (star, snowflake).
- Cloud expertise (AWS), CI/CD (GitHub Actions), DevOps best practices.

Why trust me?
- 3 years of experience on complex data projects.
- Optimization of ETL/ELT pipelines and SQL queries to reduce costs, processing times, and improve performance.
- Committed and persevering, known for pragmatically solving complex problems and delivering high-quality work, sparing no effort to achieve objectives.
- 2 open-source projects developed in data.
- Ability to collaborate with technical and business profiles (requirements gathering, clear reporting).
- Culture of documentation, code quality, and mastered production deployment.
  • French

    Native or bilingual

  • English

    Fluent

  • German

    Conversational

Can work on-site
Paris (up to 50km), Rennes (up to 50km), Lyon (up to 50km), Strasbourg (up to 50km), Lille (up to 50km)

Experience

  • Projets Open Sources
    Data Engineer
    RETAIL (LARGE RETAILERS)
    October 2024 - Today (1 year and 10 months)
    Paris, France
    Development of 2 open-source projects using modern technologies:

    Project 1: Retail Insights Simulator, Cloud ETL Pipeline (Airflow, Python, AWS):
    Development of an ETL pipeline in a retail environment to produce business KPIs from raw data:
    - Pipeline orchestration with Airflow hosted on an AWS EC2 instance (optimized costs).
    - Ingestion and transformation of data (sales, customers...) and optimized storage in Parquet on Amazon S3.
    - Interactive visualization of KPIs (revenue, margin, average basket size...) via a Streamlit interface hosted on an AWS EC2 instance.
    - CI/CD with GitHub Actions (unit tests, code quality, automated deployment).

    Project 2: CarbonCity Insights, Vehicle Carbon Analysis API (FastAPI, PostgreSQL, Redis):
    Design of an API to consult and compare vehicle carbon emissions, with integration of an external source:
    - Backend development with FastAPI (JWT authentication, pagination, filters, emission comparison).
    - Ingestion of data from the Carbon Interface API, storage on PostgreSQL, Redis cache for optimization.
    - Cloud deployment and automation of monthly updates via a cron job integrated into a Docker container.

    Technologies used: Python (Pandas, Streamlit, FastAPI, Plotly), SQL, Airflow, AWS (EC2, S3, Athena, Lambda), Docker, GitHub Actions (CI/CD)
    Python SQL Amazon Web Services Airflow Databricks
  • Sopra Steria
    Data Engineer
    SOFTWARE PUBLISHING
    April 2022 - May 2024 (2 years and 1 month)
    Puteaux, France
    Intervention on data projects related to a business ERP (ULIS) in the real estate sector.
    - Design of an ETL pipeline to synchronize data between the ERP and a mobile application for 200+ building managers:
    ---- Facilitation of business workshops to gather requirements and model flows.
    ---- Modeling of a dedicated database for the mobile application (GDPR compliance).
    ---- Automated orchestration of the ETL pipeline via Airflow, with error handling and notifications.
    ---- Definition and population of KPIs for agency directors to monitor activity.
    - Migration during the merger of 3 housing associations:
    ---- Facilitation of business workshops to gather client needs.
    ---- Extraction of data from 3 different sources, data cleaning and standardization.
    ---- Integration of data into the ULIS ERP, with post-migration consistency checks.
    - Development of complex SQL queries (joins, CTEs, window functions) to meet business needs.
    - Mentoring junior consultants: explaining SQL concepts and assisting with technical blockers.

    Technologies: Python, Advanced SQL, ETL, Linux, Airflow, ULIS ERP
    Python SQL Airflow
  • amazon
    Logistics Team Manager
    E-COMMERCE
    January 2021 - April 2022 (1 year and 3 months)
    Osny, France
    Supervision of a team of 40 to 100 logistics operators depending on seasonality:
    - Optimization of a labeling station, resulting in a +12% productivity gain.
    - Organization of internal events to improve team cohesion and reduce turnover.
    - Reactivity to unforeseen events (e.g., unexpected receipt of 4000 packages → rescheduling of non-urgent packages and team reallocation).
    - Production of weekly reports for Amazon teams based in Dublin (KPIs, incidents).
    Macro VBA Excel

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Education

  • Master MIAGE
    Université Paris Cité
    2022
    Master MIAGE
  • Bachelor MIAGE
    Université Paris Cité
    2020
    Licence MIAGE

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