Freelancer profile translated to English.

Description

Looking for a Data Engineer to design reliable data platforms, automate your processes, and support your Cloud projects? You've come to the right place.

As a Data Engineer, I help companies design, develop, and optimize high-performing Data solutions. I work across the entire data lifecycle, from ingestion to exploitation, focusing on the quality, performance, and scalability of architectures.

Industry field of expertise

Languages

English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Ekitan Academy
Data Engineer SaaS E-learning Platform
EDUCATION AND E-LEARNING
December 2025 - June 2026 (6 months)
Paris, France
Context: Design and development of the Ekitan Academy platform, dedicated to the sale and management of online training courses, with a data-oriented architecture for tracking users, payments, and educational performance.

Activities:

Design of the data architecture and database modeling for the platform.
Development of pipelines to collect, transform, and exploit data related to users, orders, payments, and training.
Development of Python and SQL processes for automating business operations.
Implementation of Key Performance Indicators (KPIs) to analyze sales, learner engagement, and platform performance.
Development of dashboards for business monitoring.
Optimization of query performance and data quality.
Participation in API design and Cloud service integration to ensure platform scalability.

Technical Environment: Python, SQL, PostgreSQL, GCP, Power BI, Git, REST API.
Python Cloud GCP PostgreSQL Java Microsoft Power BI
Techkoom
Data Engineer
PUBLIC SECTOR
November 2025 - June 2026 (7 months)
Paris, France
Context: Project to digitize a Senegalese public administration, focusing on designing a data platform for collecting, processing, and leveraging business data.

Activities:

Analysis of business needs and participation in Data architecture design.
Development of ETL/ELT pipelines for data integration from multiple sources.
Development of data processing in Python and SQL.
Implementation of orchestration workflows with Apache Airflow.
Data transformation and modeling with dbt.
Development of Power BI dashboards for performance indicator monitoring.
Implementation of data quality controls and optimization of processing performance.
Collaboration with business and technical teams to ensure data reliability and availability.

Technical Environment: Python, SQL, GCP (BigQuery, Cloud Storage), Airflow, dbt, Power BI, Git.
SQL Python Cloud GCP Airflow DBT
SAFRAN
Data Engineer | Data Scientist
AVIATION AND AEROSPACE
June 2022 - September 2024 (2 years and 3 months)
Paris, France
Context:Development of Data and Machine Learning solutions for industrial data analysis and predictive maintenance projects, with the aim of designing reliable data pipelines, industrializing processes, and deploying solutions on a Cloud infrastructure.

Activities:

Design and development of data pipelines for the collection, preparation, and transformation of data used by Machine Learning models.
Development of Python and SQL processes for data cleaning, analysis, and exploitation.
Implementation of orchestration workflows with Apache Airflow and industrialization of Machine Learning pipelines with MLflow.
Deployment and containerization of applications with Docker and Kubernetes.
Development and optimization of processes on AWS, particularly withAmazon S3for data storage andAWS Lambdafor automating certain processes.
Implementation of CI/CD pipelines withGitLab CI/CDto automate testing and deployment phases.
Collaboration with business, Data, and IT teams to design solutions that meet operational needs.
Participation in improving the quality, performance, and reliability of data processing.

Technical Environment:Python, SQL, Apache Spark, Apache Airflow, MLflow, AWS (S3, Lambda, Redshift), Docker, Kubernetes, GitLab CI/CD, Terraform, TensorFlow, PyTorch.
Python AWS S3 AWS Lambda Docker Airflow