Freelancer profile translated to English.

Description

Younes in a few words

Senior Cloud Data Engineer with a strong background in implementing cloud and data solutions, Younes specializes in large-scale data ingestion and management, particularly on Google Cloud Platform (GCP). He has worked on strategic projects within major companies like Servier and Société Générale, transforming data usage in critical sectors such as pharmaceutical R&D and finance.

Why engage him?

Younes is an expert in building robust and secure data pipelines, automating deployments on Kubernetes, and optimizing cloud environments. He has proven his ability to handle sensitive data while ensuring its transformation into added value for users.

His key contributions:

Deployment of GCP environments for sensitive data via Terraform.

Automation of ingestion processes with Argo Workflow.

Optimization of cloud infrastructures for secure and scalable data pipelines.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

(up to 50km)

Orange SA - Orange Digital Ventures
Senior Cloud Data Engineer
TECH
June 2025 - Today (1 year and 2 months)
Issy-les-Moulineaux, France
Within the Core Team (Transverse) department, I am responsible for supporting the GCP teams of the various BUs on cross-functional issues. I am also in charge of migrating the STELLA project to GCP.

Among my achievements:

- Migration of the STELLA project to GCP:
Implementation of reusable Python ingestion and export components.
Data structure modeling and implementation on Cloud SQL with DBT on Cloud SQL.
Implementation of ingestion Data Pipelines with Composer (Airflow).
Implementation of DBT models on Cloud SQL.
Provisioning of resources via Terraform (GCP projects, Data resources, IAM, VPC, etc.).
Implementation of the project's CI/CD.

- Transverse support and guidance:
Training Data Engineers, deploying best practices, and improving their skills in GCP, data security, and migration tools.
Creation of cross-functional Terraform resources for the various feature teams.
Design of the GitLab CI/CD chain for delivering infrastructure and data products.
Code review and validation of transverse contributions from teams.
Industrialization of POCs developed by Data Science teams.
Guidance for feature teams on technical choices.

Keywords: Google Cloud (GCP), Cloud Storage (GCS), DBT, SQL, Cloud Run, DataProc Serverless, Cloud Functions, BigQuery, ELT, Terraform, Streamlit, Python 3, Gitlab, CI/CD, Airflow Workflow, Kubernetes, Git, Apache Spark (PySpark), PostGreSQL, Medallion Architecture.
Google Cloud Platform Terraform Gitlab CI/CD DBT Python
Orange SA - Orange Digital Ventures
Senior Cloud Data Engineer
TELECOMMUNICATIONS
November 2024 - May 2025 (6 months)
Issy-les-Moulineaux, France
Within the GSP (Finance) team, I am responsible for migrating financial data and processes from the on-premise Cloudera cluster (Hadoop/Hive) to Google Cloud.

Among my achievements:

Scoping the migration strategy and leading the migration of data and processes from Cloudera to GCP.
Data transformation and modeling: implementing Bronze, Silver, and Gold data layers using DB/BigQuery.
Creating necessary technical components used by Data Engineers during migration: notably DataProc Serverless, Composer, via Terraform.
Implementing technical migration components, including resource provisioning, CI/CD, etc.
Implementing continuous integration and deployment (CI/CD) with Gitlab.
Porting Spark (PySpark) and Python processes to GCP (Cloud Run or Dataproc Serverless service).
Guiding data engineers on the migration process to GCP.
Rewriting and adapting applications to the GCP context.
Code review and validation of the team's contributions (MR).

Keywords: Google Cloud (GCP), Cloud Storage (GCS), DBT, SQL, Cloud Run, DataProc Serverless, Cloud Functions, BigQuery, ELT, Terraform, Streamlit, Python 3, Gitlab, CI/CD, Airflow Workflow, Kubernetes, Git, Apache Spark (PySpark), PostGreSQL, Medallion Architecture.
Google Cloud Platform Airflow Terraform Big Query DBT
Servier
Senior Cloud Data Engineer - Boost Project
PHARMACEUTICALS INDUSTRY
October 2023 - November 2024 (1 year and 1 month)
Suresnes, France
Within the Data Factory, the R&D Business Unit is responsible for the research and development phase of new drugs.

Boost Project: Ingestion of strategic data for the company

The Data Factory, and Servier on a larger scale, aims to accelerate its R&D by ingesting strategic external and internal company data into its Cloud. This data can be private or public.
I joined the team as a Data Engineer. The team's mission was to ingest this data and make it available to the company's researchers.

Among my achievements:

Data ingestion using Argo Workflow templates.
Implementation of reusable Argo Workflow templates.
Creation of "restricted" GCP projects via Terraform to host sensitive data.
Transformation and provision of data to users.
Google Cloud Terraform Big Query Argo Workflow Python Programming