Freelancer profile translated to English.

Description

Sylvestre is an experienced architect with over 10 years in IoT, Cloud (Azure, AWS, GCP), and data ingestion and transformation. A graduate in computer engineering and electrical engineering, he is also an IoT/Node.JS and IoT/Azure/C# trainer and an AWS Developer Associate certified professional. Here are some highlights of his profile:

Advanced Technical Expertise:

Mastery of multiple programming languages: TypeScript, C/C++, C#, Python, JAVA.

Database skills: SQL, Postgre, MySQL, Oracle, MongoDB, Redis, Snowflake.
Experience in events and systems: MQTT, AMQP, Kafka, RabbitMQ, IoT Hub.
Operating system mastery: Linux, Windows, Mac OS.
DevOps skills: Azure, GCP, AWS, Github, Docker, SonarQube.

Architecture Design and Implementation:

Cloud (Azure, AWS, GCP) and On-Premise Architectures, Cloud-Native, Microservices, and Serverless.
Event-driven and Hexagonal Architecture, Event Sourcing, CQRS.
Infrastructure automation with Terraform, Snowflake data pipelines.
Design of robust API interfaces and integration of complex systems.

Leadership and Project Management:

Management of diverse teams, leading technical workshops for architects and CIOs.
Management and optimization of Cloud components: Lambda, API Gateway, DynamoDB, S3, CloudWatch, X-Ray.
Supervision of data and system migrations, integration of CRM and ERP solutions.
Close collaboration with development teams to optimize backend and front-end systems.

Diverse Sector Experience:

Projects for luxury, industrial, retail, aeronautics, automotive, healthcare, and training companies.
Development of innovative solutions for startups and large corporations.
Implementation of IoT platforms, Big Data solutions, smart badge reader systems, and more.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Chaloub Group
Senior Lead Backend Developer Engineer
LUXURY GOODS
November 2023 - Today (2 years and 7 months)
Bur Dubai, United Arab Emirates
Context and objectives:
Within the Chalhoub Group, a major player in luxury retail in the Middle East, I lead the cloud services entity within the digital practice. My objective is to develop innovative cloud infrastructures on AWS and GCP to support and evolve omnichannel commerce operations, while integrating new solutions for the group's brands.

Description of main activities:
Tasks:
• Develop and launch new backend services using Node.js and TypeScript to meet the specific needs of brands and the group.
• Evolve existing services to increase their efficiency and adaptability to new market requirements.
• Manage and optimize AWS components such as Lambda, API Gateway, DynamoDB, S3, CloudWatch, and X-Ray.
• Integrate solutions such as MuleSoft, as well as various CRMs and ERPs to improve internal processes and customer experience.
• Oversee integrations with Salesforce and Shopify to enhance e-commerce capabilities.
• Ensure high availability, security, and performance of applications through advanced cloud development and deployment practices.
• Collaborate closely with development teams to optimize backend and front-end systems.
• Lead data and system migration initiatives, focusing on efficiency and cost reduction.
• Support brands in implementing enterprise systems like BizTalk and API Management solutions like MuleSoft.
• Develop and deploy custom API solutions for brands, enabling personalized and efficient integration with the group's cloud services.
• Supervise the integration of enterprise systems with cloud infrastructures to ensure smooth and secure connectivity.
• Document developed architectures and share best practices with internal teams
AWS Cloud AWS Lambda AWS Fargate AWS RDS AWS SQS
WayKonect
Data & Cloud Architect
ENERGY AND UTILITIES
August 2022 - November 2023 (1 year and 4 months)
Lille, France
Context and objectives:
Context:
WayKonnect, a startup specializing in connected vehicle fleets, needed to design the architecture for their products.

Objectives:
Transform a monolithic architecture into microservices, merge two IT systems, create a Data and DataHub platform, and migrate from Azure to AWS.

Description of main activities:
Tasks:

Architecture Design and Development:
Maintain relational, non-relational, and Big Data databases.
Use cloud technologies to create microservices.
IT System Evolution and Merging:
Transform a monolithic architecture into microservices.
Merge the IT systems of the startup and a large corporation.
Data and DataHub Platform Implementation:
Create RESTful APIs and WebSocket APIs.
Develop cloud services and pipelines.
Performance Improvement and Data Management:
Improve the performance of an end-to-end EDI solution for files up to 20 million lines.
Integrate measurement and monitoring systems.
Architecture Maintenance and Optimization:
Optimize and evolve the architecture.
Manage updates and deployments.
Plan and implement data and system migrations.
Collaboration and Documentation:
Collaborate with development, testing, and delivery teams.
Document the architecture and share knowledge.
Resolve technical and software issues.
API JWT Microsoft Azure Azure DevOps Azure AD Azure Storage Amazon Web Services AWS S3 AWS Fargate AWS Cloud Kafka Streams Apache Kafka PostgreSQL SQL MongoDB
Pernod Ricard
Data Engineer Lead
WINE AND SPIRITS
November 2020 - November 2022 (2 years)
Paris, France
Context and objectives:
Context:
Optimization of trade marketing and advertising expenses for one of our clients. Implementation of a technical architecture and a unified format for data scientists. Dynamic data collection from all countries where our client operates, with high-volume data management.

Objectives:
Design and implement a technical architecture for marketing expense optimization. Implement raw data collection and activate more brands for more clients with better short-term and long-term impact.

#Description of main activities:

Tasks:

Understand Data Model Needs:
Analyze work done with BCG and formalized documents during inflection/incubation.
Identify inputs, outputs, and cleaning rules.
Define success factors for file cleaning aligned with business requirements.
Identify similarities with the Data Cleansing Factory.
Data Work:
Manually analyze files to confirm documented rules.
Test rules by manually cleaning new datasets.
Discuss with BCG and business units to ensure the conformity of generated results.
Change Data Capture (CDC) Implementation:
Design and deploy CDC mechanisms for real-time capture of changes in source databases.
Integrate CDC with event systems to push data to processing and analysis pipelines.
Formalize the Process:
Identify all necessary steps to clean different datasets.
Write and deploy processes to monitor data quality.
Develop data pipelines to feed various target data models.
Ensure the quality of input and output data.
API JWT Microsoft Azure Azure DevOps Azure Data Factory Azure AD Azure Cloud Azure Functions Azure Databricks Azure Active Directory Azure Storage Azure Data Lake CI/CD Agile Methodology Scrum Microsoft Power BI Azure Logic Apps SQL PostgreSQL Python Snowflake