Freelancer profile translated to English.

Description

Analytics Engineer with 7 years of experience in banking and insurance, specializing in migrating legacy systems (SAS, Matillion, Redshift) to Dataiku and Snowflake, designing shared datamarts, and industrializing data pipelines.

I work on projects with high technical complexity in close collaboration with IT, Data, and Business teams — from functional scoping to production deployment and user support.

Available for Dataiku Developer, Analytics Engineer, or Data Migration missions.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Malakoff Humanis
Senior Data Analyst | Migration SAS/Redshift → Snowflake & Dataiku | BI & Datamarts
BANKING AND INSURANCE
January 2023 - Today (3 years and 5 months)
Paris, France
Redshift → Snowflake Migration — migration of ~60 tables (millions of rows), SQL query optimization with +60% performance gain in production.
Matillion → Dataiku DSS Migration — redesign and migration of 10 complete ETL projects, pipeline industrialization, and automated scheduling setup within Dataiku.
Shared Datamart Design (Sales, Digital, Customer) — centralized structures used by several business departments for transverse steering and reporting.
Business Support SAS → Dataiku/Snowflake — upskilling a team of 10 people, from tool familiarization to production autonomy.
Cloud AWS Dataiku DSS Matillion Airflow Snowflake
BNP Paribas
Data Analytics Engineer
BANKING AND INSURANCE
November 2021 - December 2022 (1 year and 2 months)
Paris, France
ETL pipeline orchestration with Apache Airflow — deployment, dependency management, and incident recovery in a production environment.
SQL and Python optimization on large datasets — refactoring processes to reduce execution times and improve production stability.
Data quality controls implementation — defining validation rules and supporting business and IT teams on best practices.
Microsoft Power BI Apache Airflow ETL Processes SQL Server Data Integration
AfterData | Predictive Marketing
Data Scientist
E-COMMERCE
October 2020 - October 2021 (11 months)
Paris, France
Development of machine learning models to address business challenges: scoring, churn prediction, fraud detection, and marketing segmentation, with training workshops to explain and transfer methodologies to teams.
Production deployment of predictive models: seamless integration into existing systems and alignment with strategic objectives, accompanied by clear documentation and skills transfer sessions.
Model testing and quality control: validation of result consistency, accuracy, and reliability, while educating users on limitations and best practices.
Data preparation: cleaning, preprocessing, and creation of usable datasets, with workflow explanations to empower teams for their future analyses.
Data Cleaning and Preprocessing Python Microsoft Power BI