Freelancer profile translated to English.

Description

With significant experience as a Scrum Master and Big Data Technical Lead, I passionately lead teams towards excellence in the design and development of innovative data solutions. At , we have developed business intelligence projects that have transformed how data is leveraged, with a focus on Apache Spark and Scala.

Notably, I have acquired solid skills in cloud providers such as GCP, Azure, and AWS.

Currently, I hold the role of Senior Data Engineer with a tech stack including Snowflake, dbt, GCP, Airflow, Python, Terraform, and Power BI.

Proficient in CI/CD tools like Jenkins, Ansible, Maven, and Git, as well as Informatica PowerCenter ETL, I am committed to continuously improving development processes and delivering concrete added value to our clients. Our team focuses on delivering high-quality projects that align perfectly with our partners' strategic objectives.

Certifications in progress for:

Databricks (Data Engineer Associate obtained)

AWS

GCP

DBT

Snowflake

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Italian
Basic

Workplace preferences

Can work on-site

Suresnes (up to 30km)

L’oreal
Senior Data Engineer
February 2025 - Today (1 year and 4 months)
Paris, France
I hold the role of Senior Data Engineer in the HR team at L'Oreal, where my tasks include:

Support for legacy BI
Run/build of the HR Data Platform (modern stack)
Snowflake DBT Airflow Google Cloud Microsoft Azure
SG Assurances
Data Scrum Master / Data Engineer
BANKING AND INSURANCE
October 2022 - January 2025 (2 years and 4 months)
My role in the tribe is Data Scrum Master within the FT 'prévoyance' (provident fund), whose goal is to prepare use cases for actuaries related to borrower insurance products.
Cloudera Python Java Apache Superset Apache Trino Spark Oozie Hive Hadoop
Banque Postale
Lead Data Engineer Senior
BANKING AND INSURANCE
September 2021 - October 2022 (1 year and 1 month)
Project: Team agile divided into 2 squads - Pilotage Team.
Realization of new source ingestion and feeding of the Business Lake and Serving Lake layers for end-users.

Realization of Spark Scala jobs
Ingestion with in-house engines built with Apache Spark in Scala and Python.
Mentoring team developers
PoC for migration to public cloud on GCP
Technical reference
CI pipeline with GITLAB CI

Technical Environment:
Apache Spark, Scala, Hadoop, HQL, Apache Hive, Oozie, Ambari, Python, Maven, GitLab,
HDP 3.1.0 and 3.1.5, CDP, Hive, Dataiku
Dataiku Spark Hive Scala Python