Freelancer profile translated to English.

Description

Lead Data Engineer with over 7 years of experience, I work on both high-value technical projects (data engineering, optimization, migration) and professional data training.

TRAINING

I conduct corporate training sessions (R, Data Engineering, Linux) for both business and technical profiles:

- R Training (3 days) in a professional environment (iMSA – 3 sessions)

- Advanced R Training (3 days - upcoming)

- Linux Training (3 days - EDF – Paris)

- Continuous support for business teams (mentoring, skill development)

I have also supported over 400 students and professionals internationally (Fiverr, Superprof).

DATA EXPERTISE

- Complex system migration (SAS → R, Big Data)

- Large volume data processing optimization (+400 GB)

- Technical Lead (team of 8 developers)

- 14x performance improvement on certain pipelines

POSITIONING

- Training assignments (a few days per month)

- Lead Data Engineer / Tech Lead assignments

Available for technically or pedagogically challenging projects.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Amazighe standard marocain
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Groupama G2S
Data Engineer (Spark/Scala)
BANKING AND INSURANCE
January 2023 - January 2024 (1 year)
Puteaux, France
Development of Big Data pipelines in Hadoop environment with Spark/Scala.

Large-scale distributed data processing and multi-format data ingestion (CSV, Avro, Hive).

Performance optimization and cluster resource management.

Processing orchestration with Oozie, dependency management, and SLA compliance.
Scala Spark Big Data SQL Hadoop
IMSA (via Inetum)
Lead Data Engineer & Data Trainer
BANKING AND INSURANCE
May 2025 - Today (1 year and 3 months)
Bobigny, France
Technical lead on a large-scale data migration program (over 1200 programs), supervising a team of 8 developers (France / Spain).

Involved in high-volume data processing (up to 400 GB), optimizing performance (up to 14x on certain critical processes) and industrializing data pipelines (R, SQL, DuckDB, Parquet).

Concurrently, conducting professional corporate training:

R Training (3-day sessions) for business and technical profiles
Weekly team support (mentoring, support, skill development)
Advanced R training planned (optimization, data engineering)

Participating in the migration strategy (SAS to R), supporting developers on complex cases, resolving production incidents, and continuously improving performance (CPU, RAM, IO).

Implementing best practices: code structuring, standardization, monitoring, and process reliability.
R Data Engineering Training SQL Performance
BPCE-SI (via Argain Consulting)
Data Engineer / Data Scientist
BANKING AND INSURANCE
June 2022 - February 2023 (8 months)
Paris, France
Involved in high-stakes business data projects, combining data engineering and data science.

Preparation and transformation of data from multiple sources (Teradata, flat files, Excel) using Python and SQL, with data quality improvement and dataset structuring.

Development and deployment of analysis algorithms:

Anomaly detection (Isolation Forest, k-modes clustering)
Processing and analysis of data across multiple entities (deployed in 13 banks)

Industrialization of processes:

Data pipeline automation
Packaging and integration into production environments
Implementation of robust and reproducible processes

Contribution to data valorization:

KPI and dashboard creation (Power BI)
Reporting results to business teams

Cross-functional collaboration with IT and business teams to define needs, ensure process reliability, and guarantee the relevance of analyses.
Python (Programming Language) Microsoft Excel SQL Bitbucket Data Science

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PhD in Bioinformatics
University of Limoges
2021
Doctorat en génomique et bio-informatique réalisé sur deux projets de longue durée. Le premier consiste à analyser les interactions entre les régions du génome bovin, et le deuxième à trouver des gènes associés à la qualité de la viande par des approches statistiques.
Data Analyst
OpenClassrooms
2022
Formation réalisée en partenariat avec l'ENSAE (L'École nationale de la statistique et de l'administration économique) et basée sur 10 projets à réaliser. - Projet 1 : Prenez en main votre formation de Data Analyst - Projet 2 : Faites une analyse des ventes pour un e-commerce - Projet 3 : Créez et utilisez une base de données immobilière avec SQL - Projet 4 : Réalisez une étude de santé publique avec R ou Python - Projet 5 : Optimisez la gestion des données d'une boutique avec R ou Python - Projet 6 : Analysez les ventes d'une librairie avec R ou Python - Projet 7 : Analysez des indicateurs de l'égalité femme-homme avec Knime - Projet 8 : Faites une étude sur l'eau potable avec Tableau - Projet 9 : Produisez une étude de marché avec R ou Python - Projet 10 : Détectez des faux billets avec R ou Python

Check out Abdelmajid's education

Abdelmajid E.

Lead Data Engineer & Data Trainer (R, Linux, Py)

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