Building Robust Data Pipelines.

Passionate Software Engineer with a strong Python experience, specialized in data pipelines and data analysis.

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Robin Nogues

Experience

Data Engineer

Sancare Sancare, Paris
Jun 2023 - Present
  • Design and implement robust ETL pipelines for healthcare data with Python and SQL, ensuring data integrity and system scalability.
  • Data recovery from complex hospital databases.
  • Indexing and extraction of a wide range of textual data (PDF, DOC, HTML, CSV, HL7 FHIR, ...).
  • Implement Optical Character Recognition (OCR) technology to extract and digitize data.
  • Optimising queries using the SQL execution plan.
  • Investigation, repair and improvement of legacy code.
  • Contribute to clinical studies by providing data engineering support, ensuring accurate and timely data processing for research purposes.
  • Collaborate with clients to define product specifications, translating business needs into technical requirements.

Data Science Intern - Computer Vision

Alten Alten, Toulouse
Sep 2022 - Feb 2023
  • Applied computer vision to team pursuit races (cycling).
  • Track line detection using image processing tools (OpenCV).
  • Cyclist detection with a detection model (YOLOV5) + tracking (Norfair).
  • Measurement of various distances from detections and post-processing (clustering and signal processing).
  • Results presented in a Streamlit dashboard using Plotly graphs.

Projects

Gesture Recognition

Developed a hand gesture recognition system using Mediapipe for hand tracking and TensorFlow for gesture classification. features a custom Python script for dataset creation and an RNN model capable of detecting letters from dynamic hand movements.

Python TensorFlow Mediapipe

DeFi Platform Simulator

Built a DeFi simulator in Python to backtest lending and borrowing strategies. Defines transactions and calculates key metrics (health factor, APY) using real-time crypto prices from CoinGecko and protocol data from Aave via GraphQL.

Python GraphQL API

Portfolio Architecture

Designed a robust micro-service architecture using Docker. Features a FastAPI backend, Nginx reverse proxy for security and routing, automated SSL renewal, and a full CI/CD pipeline via GitHub Actions for deployment on a VPS.

Docker FastAPI Nginx

Weather Impact in Football

Analyzed the correlation between weather (temperature, rain) and match outcomes by scraping historical data using BeautifulSoup and Selenium. Visualized statistical insights on win rates and goals using Matplotlib.

Selenium Matplotlib

Skills & Stack

Spoken Languages

French (Native)
English (Proficient)
Spanish (Basic)

Programming Languages

Python
Scala
Java

Data Engineering & Databases

Pandas
Spark
BeautifulSoup
Selenium
SQL
GraphQL
Streamlit
Plotly
Matplotlib
FastAPI

Cloud (AWS)

EC2
Lambda
S3
RDS
DynamoDB
IAM
VPC
ELB
CloudWatch

Machine Learning & Computer Vision

Scikit-Learn
Tensorflow
YOLO
Mediapipe
Norfair
OpenCV

DevOps

Git
Docker
Docker Compose
GitHub Actions
Nginx

Web Development

HTML
CSS
JavaScript

Soft Skills

Collaboration
Communication (NVC)
Critical Thinking
Adaptability
Rigor

Education

M.S. in Computer Science

UQAC

UQAC, Chicoutimi, CA

2021 - 2023

M.Eng in Computer Science

ESME

ESME, Bordeaux Paris, FR

2017 - 2023

Certifications and Courses

AWS Cloud Technical Essentials

AWS - Coursera

Jan 2026
EPFL

Functional Programming in Scala

EPFL - Coursera

Show Courses
  • Functional Programming Principles
  • Functional Program Design
  • Parallel programming
  • Big Data Analysis (Spark)
  • Capstone Project
Sep 2025

Scala Skills for Data Engineering

LinkedIn Learning

Mar 2025

Docker Foundations Professional Certificate

Docker - LinkedIn

Mar 2025

Become an AI and ML Specialist

LinkedIn Learning

May 2022
ETS

TOEIC Exam (Score: 890)

ETS Global

May 2021

About Me

Work Philosophy

I am committed to continuous improvement, regularly reviewing my work to identify and implement enhancements. I have a strong drive to investigate, whether through testing new tools or proactively identifying bugs, finding great satisfaction in problem-solving. While adept at working autonomously, I highly value collaboration and insights from experienced colleagues. I am eager to expand my technical expertise and integrate new technologies into my skillset.

Music

I discovered percussion in music class at secondary school. It made me want to start drumming, because I was doing well compared to my classmates. I started learning drums with online lessons, then continued with a teacher for 3 years. I stopped taking lessons when I moved to another city to study, but I still practice every day. I can also play the cajon, a Peruvian instrument.

Sport

I played club football from the age of six to seventeen. It was also at the age of 17 that I started going to the gym with my friends. Combining the two activities was hard on the body, so I decided to stop playing football because bodybuilding suited me better. I appreciate that you can do it alone or with partners. Recently, I started running to complement bodybuilding with a cardio activity. I also enjoy these sports because I can practise them alone early in the morning, before work and without any constraints.

Let's Connect

Have a question or an opportunity? Drop me a message.