As AppsLead, I play a crucial role in the LinkyPilot project, a spin-off project of
the Linky program focused on the analysis of data from connected meters and
the communication chain of the French electricity grid.
My mission is to define and implement the project's technical path and
strategy, focusing on continuous improvement and compliance with ISD
guidelines.
In addition to my technical responsibilities, I play an important role in
supporting and training the teams in IT best practices. I am also in charge of
defining and respecting the MTP (Medium-Term Plan), thus aligning projects
with budget items.
In addition, I am in charge of hiring the right profiles, helping to strengthen the
team and ensure the continued success of the project.

I work with companies and organizations to design and implement IT systems
tailored to their specific needs.
My expertise is focused on creating robust, scalable and high-performance
architectures that meet my clients' requirements.
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At the same time, I ensure the training and support of the teams in the
technologies used, guaranteeing a smooth transition to the new systems
implemented.

As a data engineer in an innovative French start-up, I participated in the
creation of a medical search engine designed to help health professionals
(doctors, pharmacists, specialists, nurses, etc.) to quickly find reliable and
condensed information.
My main role was to design and implement a robust architecture to extract data
from very heterogeneous sources in terms of format. I worked on the extraction
of the relevant information and metadata to build a search engine optimized
database.
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I was also part of the team responsible for the ongoing maintenance and
evolution of the search engine to ensure optimal performance and increased
accuracy of results.
The team I worked with consisted of 4 data engineers and 4 data scientists.
We mainly used Python for the extraction and enhancement of the medical
documents, while the search engine was developed as an API in Golang. The
data was stored in ElasticSearch and our entire infrastructure was hosted on
Google Cloud Platform (GCP), using services such as Google Kubernetes
Engine (GKE), Google Compute Engine (GCE) and Cloud Run.

• Architect of Search Engine
• Data Engineer
• DevsOps with GCP + Kubernetes

As a business intelligence consultant, I worked with companies to design
and implement complete systems, from requirements and solution definition
to the implementation of data extraction, transformation and loading (ETL)
processes. I was also responsible for the implementation of databases and
visualization tools, to the creation of intuitive and interactive dashboards.
I supported users on several levels: identifying their needs and defining
appropriate solutions, training them in the use of BI tools, helping them
understand KPIs and enabling them to analyze data sets in response to
specific problems.
Technologies used included ETL tools for data processing, RDBMS (such as
PostgreSQL, Oracle, MSSQL and Teradata) for warehousing, and visualization
solutions such as Power BI, Qlik and Tableau.
In addition, I contributed to the creation of an innovative SaaS platform
dedicated to the provision of AI-based predictive models, a pioneering project
in this field in 2018.

• SQL
• DataManagement
• Cloud Technologies
• Back and Front End