Freelancer profile translated to English.

Description

Welcome to my Malt profile 👋

I regularly work on Data Engineer, Data Science, and Application Development missions and: ✅

📒Data Engineer

Data collection via various sources (Website, API, Database) - Hadoop - Data Ingestion

Data storage in various formats

Data Modeling

Creation of efficient data architectures - Data Architecture

Creation and optimization of data pipeline performance - Airflow - Data Pipeline

Development and optimization of data processing - Spark/PySpark/SQL - Data processing

Ensuring data quality with adequate monitoring - Data Quality

Data Ops: git, Gitlab CI/CD, Jenkins

Making data available to Data Science teams

📒Data Science

I can collect raw data, perform statistical analyses to identify underlying trends and the most relevant features. Expose analysis results in business dashboards - Tableau. Model business needs using machine learning algorithms (prediction, recommendation, classification, clustering, ...), expose the found models in APIs, and put the entire prediction chain into production (with real-time updates).

📒API Development

Django / Flask APIs

📒Search Engine

I work throughout the entire process of setting up a search engine / From text extraction (Image, PDF, ...), indexing, grouping into themes, to deployment within a Web platform.

🚀🚀🚀 This list is not exhaustive 🚀🚀🚀

I offer useful solutions to businesses.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

TotalEnergies
Senior Data Engineer
ENERGY AND UTILITIES
December 2025 - Today (8 months)
Paris, France
Designed and builtscalable data pipelineson Databricks (PySpark, Delta Lake, Unity Catalog) for ingestion, normalization, quality control, and monitoring.
Developed ageneric ingestion framework(metadata‑driven, multi‑source, multi‑schema) reducing feature delivery time by 40%.
Implemented a full **Data Quality framework**: business rules, automated profiling, drift detection, alerting, and Lakeview dashboards.
Optimized Delta tables (Z‑Ordering, clustering, compaction) improving query performance by 30–70%.
Contributed to **data governance**: catalog structure, permissions, documentation, naming conventions.
Collaborated with business teams (energy, pricing, scenarios) to translate complex requirements into reliable, production‑ready pipelines.
Databricks Microsoft Azure MySQL Data Quality GitHub
Vizcab
Data engineer / Developer
SOFTWARE PUBLISHING
April 2024 - November 2025 (1 year and 7 months)
Paris, France
- Designs and develops new data pipelines in Azure Databricks for data ingestion to/from product applications, Azure Data Lake, and PostgreSQL databases.
- Implements Datadog metrics ingestion pipelines in Databricks, combines this data with other datasets, and exposes insights in Power BI reports.
- Creates and optimizes models to organize and structure data from various applications and sources, making it actionable for users.
- Develops and maintains Power BI and Databricks dashboards to visualize information, monitor pipeline performance, and ensure data quality.
- Improves code quality by applying best practices and establishing robust CI/CD pipelines using Databricks Bundle Assets, GitLab, and SonarQube.
- Implements unit and integration tests.
- Develops and implements data contracts as a framework for monitoring data models and defining clear specifications.
- Collaborates with business teams to identify their needs and deliver tailored data solutions that provide value.
PySpark Databricks Microsoft PowerBI Microsoft Azure Gitlab CI/CD
Cour des comptes, Paris.
Machine learning engineer / Project Lead
PUBLIC SECTOR
December 2017 - August 2022 (4 years and 8 months)
● Designs and oversees the architecture and development of the unified research platform for the Court of Auditors based on a Hadoop data lake.
● Builds Python scraping pipelines to collect HTML pages from reports produced by the Court of Auditors from 1870 to 2022 (180k+).
● Creates and develops Python projects to extract raw text from over 250k reports of types PDF, Word, HTML, Image documents (OCR), etc.
● Implements Python programs to clean, process, and structure heterogeneous data, and especially to identify connections between data for indexing (Elasticsearch) and textual analysis.
● Leads and develops Spark pipelines for ingesting content from various databases (e.g., audits, Court of Auditors employee directory, ...).
● Collaboratively develops the Web platform for the search engine (React, Django).
● Conducts an NER (Named Entity Recognition) POC to automatically extract relevant names and expressions from the text of the reports (Spacy, Deep learning).
● Organizes and leads manual annotation workshops (Doccano) of the reports to build a learning dataset for the NER POC specific to the Court of Auditors' context.
● Organizes several user workshops to gather internal needs regarding efficient text search, document organization, and logical links between information.
● Works closely with the UX designer to create mockups for the research platform.
Python Scala SQL PySpark Hadoop Elasticsearch Docker BeautifulSoup Tesseract Spacy Tika Pandas Numpy data engineer Statistical Modeling Python (Programming Language) Natural Language Processing (NLP) Python (Programming Language) Requirements Analysis Project Management Project Management Team Management