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Mathieu Coulet
I turn raw data into a resource: pipelines, analysis and intelligent systems.
- Role sought
- End-of-studies internship in Big Data, Data Engineering and AI
- Available
- From March 2027
- Location
- Lyon, France
clean
What I work with
The tools behind each project, placed where they sit in a pipeline.
| Stage | Tool | Used in |
|---|---|---|
| 00 Sources | Web scraping | Aether Data |
| React | AREA | |
| Electron · Angular | Clausier | |
| 01 Transport | Kafka | Aether Data |
| Go · Gin | AREA | |
| 02 Processing | Python | Aether Data |
| RabbitMQ | AREA | |
| 03 Storage | Cassandra | Aether Data |
| MariaDB | AREA | |
| SQL Server | Clausier | |
| Snowflake | Bureau Veritas KPI reporting | |
| 04 Analysis | AI ranking | Aether Data |
| Power BI | Bureau Veritas KPI reporting |
Also in use: Docker, Kubernetes, PostgreSQL, Grafana, TypeScript, Java, SQL
model
What I have built
Three systems and one reporting stream, each traced from raw source to what it delivered.
P/01
Aether Data
Search engine: scraped pages flow through two Kafka topics and a sanitisation stage into Cassandra.
10 components · 2 Kafka topics
Data path: Web scrapingKafkaPythonCassandraAI rankingRanked search results
P/02
AREA
Action–reaction automation across six third-party services, dispatched through two RabbitMQ queues.
10 components · 2 RabbitMQ queues
Data path: ReactGo · GinRabbitMQMariaDB
P/03
Clausier
Desktop tool for CRUD management of hierarchical regulatory frameworks: laws, articles, standards.
2 components · 3 data-model entities
Data path: Electron · AngularSQL ServerCheck compliance
P/04
Bureau Veritas KPI reporting
Power BI dashboards and Snowflake KPI views of inspection service quality, for national and regional quality specialists.
Data path: SnowflakePower BIFocus on neglected inspection-quality areas
analyse
Experience and education
Two internships and three programmes on one time axis.
Experience
01/2024–07/2024
Software Developer & Data Analyst Intern
Bureau Veritas Exploitation, Paris
- Built Power BI dashboards for national and regional quality assurance specialists: KPI analysis of inspection service quality.
- Implemented ETL workflows connecting OPALE inspection data to downstream analytics platforms, preserving data integrity and auditability.
Electron / Angular / TypeScript / SQL Server / Power BI / Snowflake / ETL
Clausier is documented as a case study: see the Clausier project
08/2023–12/2023
Software Engineering Intern
Visiativ, Lyon
- Wrote Python and Java scripts to improve the maintainability and performance of software versions.
- Set up version control and CI/CD pipelines for streamlined deployments.
Python / Java / CI/CD / Version control
Education
09/2025–06/2026
CPD in Data Analytics (TUD5535)
Technological University Dublin, Dublin
- Modules: applied predictive analytics, data acquisition, collaborative data science, statistical analysis.
2022–2027
IT Expert (RNCP Level 7)
Epitech, Lyon
- 5-year programme: 2 years common core, 3 years specialization.
2019–2022
Scientific Baccalaureate
Lycée Sainte-Marie Lyon, Lyon
In progress
Data Analytics CPD at TU Dublin (2025–2026); year 4 at Epitech; self-study: Apache Spark, Kubernetes, LLM fine-tuning, dbt.
serve
Get in touch
Internship opportunities, collaborations, technical questions. Email is fastest; my CV is here too.