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Chawki TrabelsiCT

Chawki Trabelsi

Data Engineer

€750/day
Paris, FR
8-15 years
Data Engineer
Google Cloud
Data Engineer GCP
Python
Data Analytics

Average response time: 1 hour

Freelancer profile translated to English.
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About Chawki

Data Engineer with 7 years of experience, having led and contributed to large-scale data projects in various sectors: luxury, pharmaceuticals, automotive, and energy. Specialized in cloud architectures (GCP), data pipeline development, modeling, and industrialization of high business impact analytical solutions.

  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • CELINE – LVMH
    Data & Analytics Engineer Consultant
    LUXURY GOODS
    September 2023 - Today (2 years and 9 months)
    Paris, France
    Two missions carried out as part of the modernization and industrialization of CELINE's (LVMH) data platform. GCP
    • Preparation and facilitation of architecture workshops related to business needs
    • Definition of ingestion methods for different data sources
    • Deployment of resources and services on Google Cloud Platform
    • Development of generic ingestion jobs (GCS → BigQuery)
    • Migration of the existing data warehouse to BigQuery
    • Definition and development of business rules for validation and rejection
    • Implementation of automated tests to compare legacy vs cloud results
    • Implementation of scheduling, logging, and monitoring mechanisms (Cloud Logging, Monitoring)
    • Writing technical specifications and documentation
    • Support for the team in mastering the new platform
    Design and development of extraction/ingestion pipelines from Salesforce, Y2, SharePoint, API, etc.
    Facilitation of business workshops to refine functional needs
    Data modeling and definition of the central architecture (sales, pricing, customers, products, orders)
    Participation in the migration of the JD Edwards (JDE) ERP to SAP: adaptation of pipelines, redesign of data models, update of business rules
    • Coordination with ERP teams to ensure data continuity and integrity during the JDE → SAP switchover
    • Implementation of validation rules, rejection management, and data quality monitoring (KPI)
    • Migration of models to Dataform GCP
    • Monitoring of Power BI processing pipelines and datasets
    • Documentation of processes and best practices
    BigQuery Dataform Python Git Google Cloud Run
  • SERVIER
    Data Engineer Consultant
    MEDICAL
    November 2022 - September 2023 (10 months)
    Paris, France
    Mission to improve and industrialize Servier's Data Platform in a GCP environment.
    • Development of data extraction pipelines from various sources (Salesforce, SAP, SharePoint, API, etc.)
    • Ingestion and processing of data in BigQuery
    • Migration of SQL transformations to dbt for industrialization and better governance
    • Migration of CI/CD workflows from GitHub to GitLab (Cloud Build → GitLab CI)
    • Deployment of resources and services on Google Cloud Platform
    • Implementation of validation rules and rejection management
    • Monitoring of data quality through dedicated KPIs
    • Complete monitoring of pipelines (extraction, ingestion, transformation, Power BI refresh)
    • Writing technical documentation (processes, tools, architecture)
    • Technical environment:
    ◦ Google Cloud Platform (BigQuery, Cloud Storage, GKE, Cloud Run, Cloud Build, IAM, Artifact Registry, Logging, Monitoring, Cloud SDK)
    ◦ Python, SQL/SQLX, dbt, GitLab CI, Kubernetes, Terraform
    ◦ JIRA, Confluence
    Python Data Engineer GCP BigQuery DBT
  • RENAULT
    Data Engineer Consultant
    AUTOMOBILE
    March 2020 - January 2022 (1 year and 10 months)
    Paris, France
    Migration of Renault's data platform from an on-premise environment to Google Cloud Platform (GCP).
    • Migration of Hadoop workflows to Cloud Dataproc
    • Porting of Hive queries to BigQuery
    • Definition of rejection rules and data quality controls
    • Design and development of Dataflow pipelines and SQL queries
    • Implementation of validation tests to ensure compliance between migrated data and on-prem source
    • Writing technical documentation and knowledge transfer to internal teams
    • Technologies used:
    ◦ Google Cloud Platform (BigQuery, Cloud Storage, Dataproc, Dataflow, Airflow, Logging, Monitoring, IAM, Cloud SDK)
    ◦ Python, Scala, SQL, Spark, Hive, Hadoop
    ◦ Terraform, JIRA, Confluence, Datadog
    BigQuery Spark Scala Airflow
Check out Chawki's experience

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Education

  • Certified – Professional Data Engineer
    Google Cloud
    2023
    Certified – Professional Data Engineer
  • Certified – Professional Data Architect
    Google Cloud
    Certified – Professional Data Architect
Check out Chawki's education

Skill set

BigQuery
Dataform
DBT
Google Cloud Run
Google Cloud Functions
Git
Spark
Scala
Airflow

Categories