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Youssef D.YD

Youssef D.

Senior Data Engineer | GCP | Data Platform

€725/day
1 project
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Youssef

Senior Data Engineer with over 9 years of experience in Data and Business Intelligence.

I work on projects for modernizing Data platforms, migrating to Google Cloud Platform (GCP), and industrializing large-scale analytical processing.
At Orange, I am contributing to the migration of a legacy on-premise decision-making platform to a Cloud Data Platform based on BigQuery and managed GCP services. This transformation relies on a Medallion architecture (Bronze/Silver/Gold), industrialized pipelines, and DataOps practices aimed at improving reliability, performance, and cost control.

I am involved in the entire lifecycle of a Data platform:
- Data Lake, Lakehouse, and Data Warehouse Architecture
- On-Premise to Google Cloud Platform Migration
- Design and industrialization of Data pipelines in Python and SQL
- Orchestration of processing with Cloud Composer (Apache Airflow) and Workflows
- Large-scale data processing with BigQuery, Dataproc, and Spark
- IaC with Terraform
- Automation of deployments and CI/CD with GitLab
- Governance, data quality, observability, and monitoring
- BigQuery performance optimization and FinOps approach

During my assignments, I have notably contributed to:

- The migration of several years of historical data to GCP
- The industrialization of over 20 Data pipelines
- The setup of over 50 BigQuery datasets and over 100 analytical tables
- The reduction of processing costs by up to 30% through BigQuery optimizations and FinOps practices
- The provision of reliable and governed data for decision-making and analytical uses

I particularly appreciate projects involving Data Platforms, Cloud Migration, modernization, and optimization of large-volume Data platforms.

👉 My goal: to deliver reliable, high-performance data solutions that can be directly used by your business teams.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lyon (up to 50km), Nantes (up to 50km), Bordeaux (up to 50km)

Experience

  • Orange
    Data Engineer | GCP | MSBI
    TELECOMMUNICATIONS
    July 2022 - Today (4 years and 1 month)
    Arcueil, France
    Modernization and migration of Orange's legacy Data platform to Google Cloud Platform.

    🚀 Key Achievements

    • Definition and implementation of the target data architecture in Medallion (Bronze / Silver / Gold).
    • Migration of Hadoop, HDFS, Hive, and Spark processing to the cloud based on BigQuery, GCS, and managed GCP services.
    • Development and industrialization of ELT pipelines for ingesting, transforming, and exposing data from heterogeneous sources.
    • Optimization of BigQuery processing performance and costs (partitioning, clustering, incremental loading).
    • Implementation of IaC with Terraform and automation of multi-environment deployments via GitLab CI/CD.
    • Management of service accounts, IAM, secrets, and standardization of development and operational practices.
    • Implementation of data quality controls, monitoring, observability, alerting, governance, and documentation of Data assets.
    • Tracking of production, Cloud costs, and FinOps indicators.
    • Exposure of business data in the Gold layers and publication of Power BI semantic models for business teams.
    • User support, knowledge sharing, and assistance to teams during migration and dual-run phases.

    📊 Results
    • +5 years of history migrated
    • 20+ pipelines migrated
    • 99.9% availability
    • 30% reduction in processing costs
    • 10+ business domains migrated
    • 50+ BigQuery datasets
    • 100+ decision-making tables exposed

    🧠 Technical Stack:
    GCP (BigQuery, GCS, Cloud Run, Cloud Functions, Workflows, Cloud Scheduler, Dataproc, Pub/Sub, Dataplex, Data Catalog, IAM, Secret Manager, Cloud Monitoring, Cloud Logging), Python, SQL, Spark, Terraform, GitLab CI/CD, Confluence, Jira, Looker, Power BI.

    ⚙️ Environment:
    • SAFe at scale: Agile Release Train comprising several data feature teams
    • Scrum: 5 POs, 1 Data Architect, 1 Scrum Master, 1 Tech Lead, 9 Data Engineers
    Google Cloud Platform (GCP) Gitlab CI/CD Microsoft Power BI Python Terraform
  • Orange
    BI / Data Engineer On-Premise
    TELECOMMUNICATIONS
    October 2019 - June 2022 (2 years and 8 months)
    Maintenance, evolution, and industrialization of an on-premise decision-making platform dedicated to Business, Commerce, Customer Experience, and Customer Relations domains.

    🚀 Key Achievements

    • Gathering, scoping, and formalizing business needs in collaboration with POs and business teams.
    • Development of ETL/ELT processes for populating the Data Warehouse and Data Marts.
    • Integration of multi-source data: REST APIs, CFT flows, Hadoop/Hive, Teradata, SQL Server, Oracle.
    • Decision-making modeling (star schemas, dimensions, fact tables).
    • Implementation of multidimensional and tabular cubes for performance indicator analysis.
    • Industrialization of processes and automation of flows.
    • Supervision, monitoring, and operational maintenance of the decision-making platform.
    • Code review and contribution to improving development best practices.
    • Coaching and skill development for junior profiles.

    📊 Key Figures

    • Decision-making platform: 20 servers / 14 TB of data
    • 11,000+ data objects managed (tables, views, ETL, jobs...)
    • Supervision of 350 ETL processing chains and 90 SSAS cubes
    • Performance optimization on large data volumes (multi-TB)
    • Contribution to the MCO (Maintenance in Operational Condition) of a critical decision-making IS (availability, reliability)

    🧠 Technical Stack: SQL Server, SSIS, SSAS, SSRS, T-SQL, C#, PowerShell, Hive, Hadoop, Teradata, Oracle, REST APIs.

    ⚙️ Environment:
    • SAFe at scale: coordination within an Agile Release Train (ART) comprising several Data Feature Teams.
    • Scrum: 5 POs, 1 Data Architect, 1 Scrum Master, 1 Tech Lead, 9 Data Engineers
    ETL/ELT Scrum Hive Hadoop MSBI
  • BNP Paribas Partners for Innovation (BP2I)
    MSBI Consultant
    BANKING AND INSURANCE
    September 2017 - September 2019 (2 years)
    Montreuil, France
    Design and development of new features for the decision-making application (SIRA) within the IT Security Infrastructure department of BP2I.

    Missions:
    • Liaison with business teams
    • Feasibility study / Impact study
    • Definition of technical architecture
    • Development of SSIS packages, SSAS cubes, and SSRS reports
    • Daily monitoring of flows to ensure traceability of package executions
    • Implementation of automatic sending of Excel exports by email
    • Management of acceptance testing feedback
    • Preparation of delivery packages / production deployments
    • Maintenance in operational condition and bug fixing

    Functional Scope:
    • Server / Network Health Check: verification of server / network equipment compliance with security policy
    • Vulnerability Management: regular vulnerability scans across the entire park
    • Vault: Management of digital password safes
    • Patch: Patch management and corrective maintenance
    • Log Management: Management of server logs


    **Environment**: 1 PO, 1 SM, 1 Tech Lead, 3 MSBI developers (scrum)
    MSBI SQL Server Reporting Services (SSRS) Git Microsoft Power BI Scrum

Reviews

5.0

Out of 1 rating

F

Fatima-Zahra

Talent Acquisition Specialist - CGI France SAS

Reviewed on 4/3/2026

Excellent support from Youssef in understanding Data profiles. The sessions were clear, educational, and focused on practical cases, which helped me better grasp the roles, tools, and technical stacks. The provided materials are high-quality and directly usable. Smooth communication, good adaptation to needs, and real added value for my recruitment activities. I recommend.

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Education

  • Master in Big Data Engineering and Data Mining
    Université Paris 8
    2019
    Forme des ingénieurs-experts à l’exploration, l’analyse, l’exploitation et l’optimisation de grandes masses de données (web, réseaux sociaux, santé, économie, édition, industries de la langue), à la maîtrise du développement d’applications de haut niveau et combinant des compétences en informatique, mathématiques appliquées et humanités numériques.

Skill set

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