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Fadil N.FN

Fadil N.

Data Engineer | Power BI | Fabric | Python | Excel

€650/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Fadil

Data Engineer specialized in data analysis, predictive modeling, and business intelligence. I leverage strong expertise in managing complex projects, developing data-driven solutions, and optimizing decision-making processes. With significant experience in the renewable energy sector, I am also eager to take on challenges in other industries where my data skills can create value.

✍️ Key Skills

- Programming: Python, SQL, DAX, Scala Spark, Bash, VBA
- Analytics: Microsoft Fabric, Databricks
- BI and Data Visualization: Power BI, PBI Embedded, Dax Studio, Excel
- Cloud and DevOps: Azure (VM, Databases, Blob Storage), Docker, Streamlit, FastAPI
- Data Modeling: Star and Snowflake schemas, Time Series, Machine Learning
- Project Management and Collaboration: Scoping, requirements gathering, results communication

✍️ Professional Experience

☀️ Générale du Solaire
I supervised the data architecture and reporting tools, thereby improving the management of solar power plants and the efficiency of internal processes.

🌀 ENERCON Services Western Europe
I developed predictive models and analytical reports to optimize the operational monitoring of wind turbines and resource planning.

💯 Why collaborate with me?

I am motivated by complex challenges where data analysis can truly transform decision-making processes.
My pragmatic approach and ability to deliver tailored solutions make me an ideal partner for projects requiring expertise in data science, BI, and DevOps.
I am ready to help you make the most of your data and improve your operational efficiency.
Feel free to contact me to discuss your data needs and see how I can contribute to your success.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lille (up to 100km), Compiègne (up to 100km), Lyon (up to 100km), Reims (up to 100km)

Experience

  • Générale du Solaire
    🌞 Azure Data Engineer / Reporting Manager
    ENERGY AND UTILITIES
    March 2023 - Today (3 years and 4 months)
    Paris, France
    🚀 Key Responsibilities:
    • 📊Management of steering and reporting toolsto track solar project performance.
    • 💰Preparation of annual budgets(year N and N+1).
    • 🛠️Administration and maintenanceof the data architecture (databases, ETL, API clients).
    • 🖥️Technological watchand recommendations to improve data management tools.
    • 🔄Transformation of internal toolsfor better efficiency.
    • 🧑‍🏫User training and supportto ensure optimal adoption.

    🌟 Notable Achievements:
    • 🏗️Implementation of a robust data architecture:
    - 🔍Needs analysisto understand business objectives.
    - 🛡️Data governanceand selection of appropriate technologies (Azure, ETL, datalakes).
    -📡System integrationand data quality control.
    • 🌍Optimization of solar power plant performance:
    - 📊 Development of Power BI tools to analyze production and identify improvement strategies.
    -⚡ Validation and monitoring of key KPIs.
    • 📑Administrative automation:
    - 📂 Optimization of contract and billing management.




    🔑 Key Skills:
    • 🌐 Programming: Python, SQL, DAX, M
    • ☁️ Cloud: Azure (Blob Storage, Databricks, VM, etc.)
    • 📊 BI and visualization: Power BI, DAX Studio, Excel
    • 🔄 ETL and CI/CD: Docker, Cronjobs
    • 🛠️ Data Modeling: Star and Snowflake schemas
    • 📡 Data science: Time Series, Machine Learning, DataViz
    SQL Server Power BI DAX Microsoft Azure Microsoft Fabric Microsoft Excel Project management Python Bash Powershell GitHub Data modeling
  • ENERCON
    Power BI Developer / Data Analyst
    ENERGY AND UTILITIES
    February 2020 - January 2023 (2 years and 11 months)
    Paris, France
    📊 Implementation of various Power BI reports on monitoring:

    ✅ wind turbine failure frequency
    ✅ operator productivity and efficiency
    ✅ workload (current and future)
    ✅ truck travel times
    ✅ quality of repairs performed by operators
    ✅ subcontracting
    ✅ and several other reports.

    📊 Implementation of a predictive model (Machine Learning) for workload prediction in man-hours.
    📊 Scoping: requirements gathering, discussions, and adjustments
    📊 Data collection: from multiple sources
    📊 Data cleaning
    📊 Modeling and KPI calculation: star and snowflake data models
    📊 Dashboarding: solution formatting (Power BI report)
    📊 Distribution and communication: analyses and recommendations

    📊 Projects carried out in an international environment.
    Microsoft Power BI Python SAP Jupyter Notebook Microsoft Azure Project management Data analysis Power Query Data exploration Machine learning KPI
  • ENERCON
    Data Analyst
    ENERGY AND UTILITIES
    September 2019 - January 2020 (4 months)
    Paris, France
    Implementation of a data quality policy:

    ☑️ Data reorganization and structuring
    ☑️ Definition of data creation standards
    ☑️ Definition of different roles during the data lifecycle
    ☑️ Implementation of a report with several data quality monitoring indicators on Excel
    Data governance Requirements gathering Microsoft Excel SAP VBA Map data

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Education

  • Engineering degree, Arts et Métiers
    ECAM LaSalle
    2018
    Diplôme d'ingénieur, Arts et Métiers
  • Data Analyst
    Paris Sorbonne
    2022

Certifications

Skill set

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