Description

My first steps as a young software engineer led me to build applications for multi-lingual text processing, combining NLP techniques and Big Data tools. Later, I specialized in pure data engineering technologies within the industrial sector, helping companies resolve their business issues by leveraging the power and scalability of Big Data.

Today, I focus on designing, building, and benchmarking solutions to maximize the potential of existing products on the market, and build modern data platforms. As the data landscape evolves rapidly, the best way to achieve strategic objectives is to continuously adopt the latest software and maintain a collaborative mindset with team members.

As a software architect, I strive to adopt a simplexity approach to tackle both technical and management challenges.

Languages

French
Native or bilingual
English
Fluent
Spanish
Conversational
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Grenoble (up to 50km), Lyon (up to 50km)

ESN
Data Platform Architect
November 2024 - Today (1 year and 7 months)
Genève, Switzerland
- Advising clients in envisioning, designing, and transitioning to the Cloud
and adopting a modern data architecture.
- Supporting pre-sales activities, including solution scoping, pricing,
proposal development, and guiding the project through the full lifecycle,
from design to go-live, ensuring alignment with technical and business
requirements.

- Conducting in-depth technical and functional assessments of business
requirements, identifying system gaps, and proposing optimized data
strategies and cloud-native solutions to enhance operational efficiency.
- Technical audit of existing solutions and enhancement proposal, based on robustness, testability and performance.
- Contributing to the development of a corporate knowledge base on
emerging data topics, fostering technical expertise, best practices, and
staying updated on data ecosystem trends.
Urssaf
TECHNICAL LEAD/DATA ARCHITECT
December 2022 - Today (3 years and 6 months)
France
• Addressing new challenges of social security by proposing the architecture of new pipelines using Big Data technologies (On-premise Hadoop cluster)
• Ensuring employers' contribution statements are collected, transformed, enriched, and transferred in a distributed ecosystem (several tens of billions of new records/month).
• Building data pipelines and benchmarking the design (memory footprint, storage size, processing time, identifying execution bottlenecks, etc.). The primary goal for the organization's strategy is to comply with regulatory issues, deadlines and constraints.
• Proposing core data models for multiple pipelines to increase consistency and code maintainability.
• Supporting development teams and providing expertise in eff icient data programming, using Spark. Helping them to optimize SQL-like high complexity algorithms.
• Acting as a Big Data ambassador for business units, raising awareness about distributed processing's power and logic.
• Proposing GDPR-compliant data architectures.
• Conducting solution studies and clearly communicating realistic short term, mid-term, and long-term goals for the application lifecycle to stakeholders.
Wyll
LEAD DATA ENGINEER
June 2021 - November 2022 (1 year and 5 months)
France
• Developing and industrializing pipelines for administrative data, deployed on a Hadoop platform.
• Monitoring pipelines and generating reports.
• Helping developers to master technical tools and business logic.
• Developing Proof Of Concepts and promoting them to production environments.
• Contributing to the construction and the promotion of a common technical core API built on PySpark code.