Data Pipelines & ETL
Robust ingestion from multiple sources with Talend and Airflow. Reliable, automated flows that centralise business data into BigQuery, Oracle or SQL Server.
Available for freelance & full-time
Freelance Analytics EngineerI turn raw data into decisions your business can trust.
Master’s in Data & Artificial Intelligence. I design robust data pipelines, model clean analytics layers with dbt, and ship dashboards that move KPIs — for product, business and operations teams.
- 5+
- Warehouses & databases
- 15+
- Tools across the stack
- C1
- English & French
- ∞
- Pipelines orchestrated
What I do
From raw sources to trusted decisions
I cover the full analytics-engineering stack — ingestion, transformation, modelling and reporting — so your teams work from data they can trust.
Analytics Engineering with dbt
Clean, tested, documented transformation layers. Mart tables and business-oriented semantic models that analysts and stakeholders can actually use.
Dashboards & KPIs
Decision-ready reporting in Power BI, Tableau and Looker. From KPI definition (client service, claims, training) to the dashboards that track them.
ML & Forecasting
Regression, clustering, forecasting and computer vision with scikit-learn, TensorFlow and PyTorch — applied to real, messy data.
Experience
Where I’ve shipped data
Real pipelines, in production, for business and operations teams.
Analytics Engineer — Operational Efficiency Team
Ascentiel Groupe · Banking & Insurance
- Designed and maintained robust data pipelines (SQL Server, Oracle, BigQuery) to centralise business data.
- Built and optimised ETL flows with Talend to automate multi-source ingestion.
- Automated processing in SQL / PL-SQL to make operational audits reliable.
- Modelled data with dbt: analytics models, mart tables and business-oriented semantic layers.
- Fed Power BI, Tableau and Looker with optimised models; built dashboards for business steering.
- Defined and tracked business KPIs (client service, claims, training, GLI) to support decision-making.
- Contributed to orchestration foundations with Airflow and structured the data environments.
Selected work
Projects across the data spectrum
From analytics pipelines to computer vision and full-stack apps.
E-commerce Sales Analysis
Relational data modelling, advanced SQL queries and a Tableau dashboard to visualise key performance indicators. Data processed in BigQuery.
Analytics Data Pipeline
Exploration and transformation of user-usage data — building analytics tables and defining key metrics to produce product-usage insights.
Road Sign Detection
Trained a YOLOv10 model in Python for image recognition from a Kaggle dataset, implemented on Google Colab with performance tracking.
Full-Stack & Mobile Apps
A complete web application built with React and Node.js, plus an Android app in Java — from product definition through MVP and testing.
Toolbox
The stack I work with
A broad, modern data & engineering toolkit — picked to fit the problem.
Languages & Querying
- Python
- SQL
- PL/SQL
- Java
- JavaScript
- C++
- C
Databases
- BigQuery
- Oracle
- PostgreSQL
- MySQL
Transformation
- dbt
- Power Query
- Pandas
- Spark
Orchestration & ETL
- Talend
- Apache Airflow
Visualisation
- Tableau
- Power BI
- Looker
- Excel
AI / Modelling
- scikit-learn
- TensorFlow
- Keras
- PyTorch
- Forecasting
Infra & CI/CD
- Docker
- Terraform
- Git
- GitHub Actions
- Linux
Product & Agile
- Scrum
- Kanban
- Jira
- Confluence
- MVP
Education
Master — Distributed Systems & Data Science Technologies (OIVM)
Licence SPI-EEA — Engineering, Electronics & Automation
Master — Embedded Systems Electronics
Licence — Electronics
Languages
- FrenchBilingual — DALF C1
- EnglishIELTS C1
Let’s talk
Have data that should be working harder?
Tell me about your pipelines, dashboards or modelling challenge. I usually reply within a day.
- Phone
- +33 6 66 03 98 95
- Based in
- Paris, France