About Me
I'm a graduate of EFREI Paris in Computer Engineering, majoring in Data Engineering, with international experience across France, South Africa (Cape Peninsula University of Technology in Cape Town), and other locations — giving me a global perspective and a strong ability to thrive in diverse environments.
I am a data analyst and engineer at heart: I turn raw, messy data into reliable pipelines and clear, actionable insights. Across consulting engagements, academic projects, and independent work, I have developed the versatility to architect a cloud data pipeline and tell the story behind the numbers with equal confidence.
My expertise spans building and migrating pipelines on GCP (BigQuery, Dataform) and SQL Server, automating workflows in Python, and delivering insights through Power BI, Tableau, and Excel. I bridge complex data infrastructure and strategic business decisions — making data both trustworthy and meaningful, end to end.
Givenchy (LVMH): Data Architecture & Pipeline Migration
Consultant Data Analyst/Engineer — Paris, March 2026 – Present (7-month internship)
The Challenge
- Givenchy needed to modernize its data infrastructure
- Legacy SQL Server systems were limiting scalability and agility
- Required migration to cloud-native architecture for Harrods (UK) operations
The Solution
- Migrated data procedures and architectures from SQL Server to Google Cloud Platform (GCP)
- Built ingestion and transformation pipelines for stock and pricing data from multiple sources
- Reverse-engineered 122 SQL Server stored procedures and classification rules
- Extracted and validated rules to map Sell-Through reporting pipeline
- Designed scalable data workflows using BigQuery and Dataform
The Impact
- Delivered modernized cloud infrastructure enabling real-time data access
- Presented architecture recommendations and technical strategy to IT stakeholders
- Enabled Harrods to scale operations with reliable, maintainable data pipelines
- Reduced technical debt and improved data governance
Location
Paris, France
Transdev: Workforce Risk Analysis
The Challenge
The strategy team needed to anticipate workforce risks regarding bus driver demographics across the national fleet.
The Solution
I led the collection and analysis of national demographic indicators. Cleaned data with Python and modelled it for internal reports.
The Impact
Delivered Power BI dashboards and strategic reports presented directly to
leadership. Enabled data-driven HR planning and risk mitigation
Location
Paris, France
Brain Gain: Marketing Intelligence
The Challenge
The organisation required a scalable approach to optimise international marketing campaigns, with user engagement processes demanding automation to support growth objectives.
The Solution
Designed and implemented a comprehensive tracking framework for multilingual cold email campaigns. Developed an AI-powered fitness assistant to personalise user progression pathways and drive long-term retention.
Location
London, United Kingdom
Languages Tracked
Multilingual campaign analysis
Efficiency Gain
Automated user engagement
The Impact: Enhanced campaign visibility through rigorous performance analysis, encompassing key metrics including open rates, click-through rates, and conversion benchmarks — delivering actionable insights to inform strategic marketing decisions.
Let's Connect
AI-Powered Portfolio Assistant
For a comprehensive overview of my professional background, technical expertise, and project portfolio, I invite you to engage with my interactive AI assistant.
The assistant is equipped to provide detailed responses regarding my analytical capabilities, tools proficiency, and career trajectory at your convenience.
Mokhtar Théo AOUF