AI Data & Security Engineer

Designed and implemented a Data Lakehouse architecture for the French Ministry of the Interior to centralize, structure, and leverage the ministry's data assets.

• Designed the Data Lakehouse architecture (bronze, silver, gold layers)
• Ingested and transformed data from heterogeneous sources
• Orchestrated data pipelines
• Implemented data governance and a data catalog
• Optimized query and storage performance
• Created analytical dashboards for business units

Waiyers develops a suite of focused applications behind one shared account. Blog, tech news and data/AI/cloud consulting published on tadata.fr.

tadata.frwaiyers.com

• Multi-app development: web, iOS, Android and desktop clients behind one shared account
• Data architecture: offline-first sync, resumable uploads, user-owned storage (Google Drive)
• Backend & APIs: services, data pipelines and orchestration of AI model workflows
• Cloud & DevOps: Kubernetes, CI/CD with GitHub Actions, AWS
• Product vision: requirement definition, KPIs, roadmap and dashboards

Working at France's premier Google Cloud Platform partner (Services 2023, Training 2024, EMEA 2025), specializing in software development and technological transformation for enterprise clients.

Client missions

Data Architect

LCL (Le Crédit Lyonnais) • Villejuif

Apr 2025 - Sept 2025

Leading the optimization of LCL's internal SNI entity organization and implementing analytical dashboards for CODIR and squad leaders. Consolidating data from diverse sources and orchestrating automated processing through scalable, maintainable architecture.

• Conducted comprehensive SI audit comparing PostgreSQL, MongoDB, and Teradata
• Designed hybrid technical architecture (on-premise first with GCP cloud equivalents)
• Orchestrated Kubernetes deployment of dockerized Python scripts
• Integrated Jira APIs and other enterprise tools into data pipelines
• Created dynamic Power BI dashboards for executive leadership
• Led technical team of 2 data engineers and 1 Product Owner

Kubernetes

GCP

PostgreSQL

MongoDB

Power BI

Python

GitLab CI/CD

Specialized consulting in large-scale data projects while leading internal innovation initiatives.

• Directed Pysquad project for internal digital product development
• Coordinated generic AI implementation for multimodal inference tasks using Azure AI Studio
• Built data platform for sales team to manage missions, prospects, and consultants

Client missions

Data Engineer

Engie • Bagneux

Jan 2023 - Jan 2025

Core member of agile team developing Mon Bonus Engie/Ecodefi+, ICE, and Ecogestes Dynamiques products in SAFe framework, serving over 1.6M total customers.

• Built REST APIs handling 100k+ daily requests with sub-second latency
• Architected AWS microservices and digital platforms
• Scaled with data scientists Deep Learning algorithms (DeepAR, Temporal Fusion Transformer)
• Worked on technology migration roadmap within SAFe train
• Optimized database flows with advanced indexing and structure improvements

AWS Lambda

Databricks

Python

Terraform

Apache Airflow

MLflow

DynamoDB

Led data science initiatives for fintech startup revolutionizing sports betting through advanced analytics.

• Managed multi-database architecture (MongoDB, SQL Server, HDF5) with hundreds of GBs
• Developed highly configurable REST API for front-end data aggregation
• Implemented real-time statistics updates using RabbitMQ and Redis caching
• Configured Azure cloud services (Functions, Web Services, Artifacts, Pipelines)
• Coordinated team of 2 engineers (data scientist and front-end developer)

Digital transformation consulting on communication and network projects.

• Diagnosed VoIP network anomalies using machine learning (clustering)
• Built a dynamic VoIP network graph with Kibana, then Neo4j, embedded in a web page
• Analyzed DevOps metrics of an Elastic server cluster
• Automated Elastic log cleanup with log4j and Bash

Web referencing agency improving clients' SEO strategies.

• Automated Excel report generation from Google Ads data
• Built an SEO analysis tool with automated PDF reports (Lighthouse, Node.js)
• Automated email sending

B2B CRM software publisher.

• Set up the Elastic Stack (ELK + Filebeat) for Windows IIS log analysis
• Built a monitoring tool and a Python usage-drop detection algorithm (FBProphet)
• Developed a dynamic visualization web platform (JavaScript, Node.js)
• Created Power BI dashboards and PowerShell scripts for IIS application management

French scale-up detecting shoplifting automatically with AI.

• Built an internal video labeling and visualization platform with Django
• Classified data for computer vision model training