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Karim BensadouneKB

Karim Bensadoune

Data Engineer

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

Average response time: 1 hour

Freelancer profile translated to English.
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About Karim

Hello, my name is Karim, a young thirty-something who evolved for several years at the 42 school (graduated as a senior) in a cutting-edge tech ecosystem where many startups are born. From this experience, I clearly felt that the Cloud was becoming a necessity due to their strong growth. Building on this realization, I trained myself and acquired DevOps methodology skills, always with a CI/CD perspective.
My work consists of supporting companies that wish to migrate/continue to develop on Cloud technologies, particularly GCP, around 4 axes:

- Analysis (Analyze needs and determine the necessary service architecture, in a fintech logic)
- Development (Simply develop the services)
- Automation (CI/CD, a service must be testable automatically and deployable automatically or very easily)
- Monitoring (Be able to visualize the service and set up an alerting policy adapted to the service)

Building on my experience at 42, I am naturally driven by passion. Self-learning is the foundation of my learning, but my greatest strength is to see not obstacles, but solutions.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris 1er Arrondissement (up to 50km), Paris (up to 10km)

Experience

  • L'Oréal
    Data Engineer
    LUXURY GOODS
    April 2022 - October 2024 (2 years and 6 months)
    Paris, France
    L'Oréal Beauty Tech - Data Engineer/DevOps (2022-2024)
    L'Oréal Beauty Tech aims to harmonize sales data (SELLIN/SELLOUT) from its 150+ global markets. My role: build a unified and industrialized data foundation on GCP to transform this disparate data into actionable insights.

    | Technical Environment
    Python, SQL, Terraform, Google Cloud Platform [BigQuery, Dataplex, Cloud Functions, Workflows, Looker], GitHub Actions

    | Missions

    Design and deployment of a data and data quality project framework (acquisition → standardization → exposure)

    Creation of multiple Looker dashboards to visualize all KPIs
    Google Cloud Looker Studio Terraform REST APIs BigQuery
  • Pyxo
    Data Engineer
    ENVIRONMENTAL
    July 2021 - January 2022 (6 months)
    Paris, France
    Pyxo - Data Engineer (2021)
    Pyxo, a pioneering startup in reusable packaging, wants to track the environmental impact of its containers. Objective: build a data factory to monitor the solution in serverless on AWS.

    | Technical Environment
    Python, AWS [Lambda, RDS, S3], Terraform, Grafana, GitHub Actions

    | Missions

    Event-driven ETL with S3/Lambda triggers

    Grafana dashboard to monitor the circularity of flows

    Infrastructure as Code with Terraform
    Amazon Web Services Serverless Grafana
  • Renault Digital
    Data Engineer
    AUTOMOBILE
    February 2021 - April 2022 (1 year and 2 months)
    Paris, France
    Renault Digital - Data Engineer (2021-2022)
    Renault Digital aims to revolutionize its spare parts pricing with a dynamic pricing algorithm. Mission: build the data factory that feeds this model in real-time.

    | Technical Environment
    Python, Java, Google Cloud Platform [DataFlow, BigQuery, Cloud Run, Pub/Sub], TensorFlow, Grafana, Terraform

    | Missions

    Development of DataFlow pipelines ingesting 3M+ references/day

    Creation of a Cloud Run API to query predicted prices

    Real-time monitoring setup with Grafana

    Industrialization via Terraform and GitLab CI/CD
    Google Cloud BigQuery TensorFlow Grafana Terraform

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Education

  • Senior
    42
    2019
    https://fr.wikipedia.org/wiki/42_(%C3%A9coles) École disruptive sans professeur, à la pédagogie basé sur le peer learning et la passion. Level 21 (diplomé sénior), avec une forte connotation UNIX, sécurité et algorithme.

Skill set

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