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Description

👋I am available for full-time or part-time assignments 👋

Data Engineer for six years, I have worked with several clients in the marketing and energy sectors.

In collaboration with diverse profiles, I have been involved in the following tasks:

✅ Data pipeline design

✅ Batch processing optimization

✅ Microservice development with FastAPI, SQLAlchemy, Alembic and orchestration of the latter with K8S,

✅ Collaboration with various profiles (Backend, Stakeholders, Data-Ops ...)

✅ Data modeling

Feel free to contact me for any additional information.

Languages

English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Kraken - octopus energy
Data Engineer / Software Engineer
ENERGY AND UTILITIES
April 2025 - February 2026 (10 months)
Paris, France
Collaboration with the Data team to design scalable pipelines, ensuring ingestion, transformation, and storage of transactional data. Implementation of ETL/ELT workflows for audit, backup, and reporting of credited payers. Optimization of pipeline performance via Spark and use of Delta Lake to ensure data consistency and historization.
Python SQL API PostgreSQL Airflow
Numberly
Data Engineer / Software Engineer
LOGISTICS AND SUPPLY CHAIN
February 2021 - February 2025 (4 years)
Paris, France
1. Collection operation deduplication project,
Design of a configurable deduplication framework, using a configuration file describing business rules (deduplication keys, prioritization, temporal criteria...). Implementation of a configuration parser converting these rules into Spark transformations (DataFrame API / SQL) to automatically generate integration pipelines. Complete automation of the process, which reduced the development time for new pipelines from several days to only a few hours.
Spark Airflow Kubernetes SQL Apache Kafka
BearingPoint X HyperCube
Software Engineer
SOFTWARE PUBLISHING
January 2020 - November 2020 (10 months)
Paris, France
1. Development of end-to-end features, from data collection to the user interface: participation in needs analysis, technical design, backend and frontend implementation, deployment and production monitoring, with an approach focused on performance, reliability, and user experience.
Amazon Web Services Python API AWS Lambda Plotly