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Imad SoufIS

Imad Souf

🥇Senior Data Engineer Cloud, BigQuery, DBT, Airflow

€600/day
1 project
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Imad

As an engineer specializing in BigQuery, Dataflow, DBT, and other GCP tools, I am determined to help companies fully leverage the potential of their data to drive their growth and success.

>Services Offered:

In my recent roles as a Data Analyst, I had the opportunity to:
- Skillfully extract data from various sources such as Hubspot, Shopify, and Google Sheets, Cloud Storage.
- Store it efficiently in data warehouses like BigQuery.
- Transform and manipulate data using SQL queries and process automation.
- Create dynamic and informative dashboards using Business Intelligence tools like Google Data Studio and Power BI.

>Training:

As a professional trainer, I teach at schools specializing in digital technology and training centers, delivering courses on topics related to Business Intelligence and data analysis.

Additionally, I have developed skills in designing automation scripts, particularly in:
- Using Python to access data via APIs.
- Mastering Google Apps Script to automate a variety of processes, such as PDF creation, mail merges, and email sending.
- Java, Python, Amazon AWS....

I place a strong emphasis on communication, continuous learning, and I am always ready to take on new challenges.

And you? What challenge will you offer me?

Imad

Data Analysis - Business Intelligence:
- Google Data Studio
- Microsoft PowerBI
- Microsoft Excel, Power Query....

Data Warehouse:
- Google BigQuery
- Google Cloud Platform

Programming Languages:
- Linux
- Java
- Python

DBT, ...
  • French

    Native or bilingual

  • English

    Native or bilingual

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

Experience

  • AG2R LA MONDIALE
    Lead Senior Data Engineer and GCP Expert
    BANKING AND INSURANCE
    June 2024 - Today (2 years)
    Paris, France
    Development and Optimization of Data Pipelines with dbt and BigQuery

    - Design and implementation of data pipelines in dbt for a POC project, using Google BigQuery as the data warehouse.
    - Development of complex SQL models for creating fact and dimension tables, integrating advanced data transformations.
    - Implementation of dbt unit tests to validate data quality, including constraint tests (unique, not_null, accepted_values) and table relationship tests.
    - Management of data lineage to ensure complete traceability of transformations across different pipelines.
    - Optimization of SQL queries to improve processing performance and reduce resource consumption.
    - Detailed technical documentation for each step of the process, facilitating maintenance and understanding of data flows.

    **Technologies Used**: dbt (data build tool), Google BigQuery, SQL.Airflow, composer....
    DBT Airflow Google Cloud Google Composer MySQL Python
  • MGEN
    Senior GCP BigQuery Engineer, Big Data
    HEALTH AND WELLNESS
    January 2021 - June 2024 (3 years and 5 months)
    Paris, France
    Big Data Engineer, GCP Cloud, AWS, BigQuery, Dataflow, SQL, Python, Java, AWS, Kafka and Couchbase NoSQL
    Couchbase Kafka REST Java Amazon Web Services (AWS) Java/JEE GCP Cloud Google Cloud Big Query Dataflow ETL ELT
  • MFI Solutions
    Big Data, Backend, and Cloud Engineer
    ENTERTAINMENT AND LEISURE
    March 2021 - January 2022 (10 months)
    Paris, France

Reviews

5.0

Out of 1 rating

AlexisA

Alexis

Data Consulting

Reviewed on 5/26/2022

Imad provided us with serious and fast work. He knows how to adapt to projects and structures of different sizes. His varied experience allows him to be proactive and facilitate the development of Java projects in addition to Kafka and CouchBase technologies. I would not hesitate to contact him again for future missions.

Recommendations

Damien LepeltierDL
Abdellah B.AB
FU
+2
Damien Lepeltier and 4 other people have recommended Imad

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Education

  • Big Data: Engineer in Management and Analysis of Massive Data
    CNAM Paris
    2018
    Le Mastère Big Data de CNAM Paris bénéficie d’une très grande notoriété aussi bien auprès des grands groupes internationaux que des start-up. Les étudiants reçoivent généralement plusieurs propositions de stage ou d’embauche au cours de leur formation.De grandes entreprises comme Thales, Safran, Airbus Group, Orange… sont membres des comités de veille et de perfectionnement du Mastère Spécialisé® Big Data, ce qui permet que ses contenus restent toujours en adéquation avec les besoins des entreprises.
  • Engineer in Development and Information Systems
    Cadi Ayyad University
    2017

Certifications

Skill set

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