Philibert OLLIER¶
Cloud architect with extensive experience building scalable, data-driven platforms that bridge physical infrastructure with cloud technologies.
Passionate and always on the hunt for new technologies and solutions, I strive to anticipate tomorrow's problems and find simple solutions to them.
Contact Me
Education
- École 42 : 2014 / 2016
- Software engineering
- Cloud infrastructures
- Security & Ethical Hacking
- High School Diploma : 2012
- Embedded Electronic Systems
- Telecommunications and Networks
Languages
- French: Native
- English: Professional
- Workplaces:
- Remote
- France
- Spain
- Poland
- Morocco
Hobby
- Kite Surf
- Sailing
- DIY Home Automation
- Video Games
- HomeLab Servers
- Scuba Diving
Tech Skills & Tools I've worked with¶
Programming Languages
- Python: Data processing, API development, and automation
- Bash: Deployment, automation, and system management
- C / Arduino: Embedded systems programming, firmware development, low-level hardware control
- PHP: Legacy system maintenance
- Assembly (x86-64): Security research, low-level debugging
Python Ecosystem
- Web Frameworks: FastAPI, Pydantic, asyncio for high-performance APIs
- Data Processing: Pandas, NumPy
- ORM: SQLModel, SQLAlchemy, Alembic
- Task Processing: Dask, Celery, Dagster
- Dependency Management: UV / Ruff for modern packaging and requirements management
Cloud Infrastructure
- Infrastructure as Code: Terraform, Pulumi, Ansible, CloudFormation
- Cloud Providers: AWS, Azure, GCP
- Regional Providers: Scaleway, OVH, Oracle Cloud
- Serverless: AWS Lambda, Azure Functions, Knative
- Private Infrastructure: OpenStack, Proxmox, VMware, HomeLab environments
Containerization & Orchestration
- Container Technologies: Docker / Snap for application packaging
- Orchestration Platforms: Kubernetes, OpenShift
- Management Tools: Rancher, Portainer
- Edge Computing: Azure IoT Edge, Portainer, Fabric, MicroK8S
DevOps & CI/CD
- CI/CD Platforms: GitLab CI, GitHub Actions, Azure DevOps
- Workflow Orchestration: Dagster, Windmill
- Monitoring & Observability: Grafana, Prometheus, Loki, Elastic Stack
- Secret Management: HashiCorp Vault, Azure KeyVault
Data Storage & Processing
- Relational Databases: PostgreSQL, MariaDB, MS SQL
- NoSQL Databases: MongoDB, Redis, Neo4j for graph data
- Time-Series Databases: InfluxDB, TimescaleDB, Prometheus
- Processing Frameworks: Dagster, Dask
- Storage: S3, Azure Blob, Parquet
IoT & Hardware
- Protocols: MQTT, OCPP for EV charging, MODBUS, CAN Bus, LoRaWAN
- Hardware Platforms: Raspberry Pi, BeagleBone, ESP32, Teltonika networking devices
- Industrial Systems: Fuel dispensers, ATGs, EV chargers, sensor networks
- Edge Deployment: Linux-based edge gateways, field-updatable firmware
- Connectivity: 3G,4G/5G cellular networks
Project Showcase¶
Fault-Tolerant Fuel Station Monitoring
Problem: Gas stations in remote areas with unreliable connectivity needed continuous operation.
Solution: Designed edge computing architecture with local storage and automatic sync capabilities.
Impact: Reduced data loss, improved operational availability across stations, and decreased manual interventions.
Scalable Time-Series Platform
Problem: Processing millions of metrics from field devices with fast query requirements.
Solution: Implemented multi-tier architecture with in-memory processing, time-series database optimization, and data lifecycle management.
Impact: Achieved responsive queries across daily data points and reduced storage costs.
Unified Asset Tracking Solution
Problem: Multi-national organization with diverse equipment fleet across multiple countries struggled with disparate tracking systems.
Solution: Developed cloud platform integrating Teltonika networking devices and custom firmware with geofencing capabilities.
Impact: Unified asset management, improved fleet utilization, and reduced equipment loss.
ESG Data Analytics Platform
Problem: Financial institutions needed to analyze environmental impact across investment portfolios.
Solution: Built data platform with version-controlled data pipelines and reproducible analysis workflows.
Impact: Enabled analysis of ESG data across multiple asset classes, reducing reporting time.
Fraud Detection System
Problem: Insurance company struggled with detecting complex fraud patterns across policy claims.
Solution: Implemented graph database (Neo4J) solution with relationship analysis algorithms and suspicious pattern detection.
Impact: Identified previously undetected fraud patterns, reducing fraud losses.
Multi-Region E-Learning Platform
Problem: Global consulting firm needed scalable platform for live video e-learning across regions.
Solution: Designed cloud architecture with multi-region replication, content distribution network, and auto-scaling capabilities.
Impact: Successfully supported concurrent users with live video streaming across regions.
CI/CD System for Robotics
Problem: Robotics development team needed consistent testing and deployment across hardware variants.
Solution: Implemented containerized CI/CD pipeline with hardware-in-the-loop testing, simulation environments, and automated deployment.
Impact: Reduced integration issues, shortened release cycles, and improved code quality through automated validation.
Work Experiences¶
February 2024 – Present
Madic Group | Cloud Architect¶
Project: IoT platform for fuel management and electric vehicle charging infrastructure
Cloud Architecture
- Development of cloud-to-edge solutions for monitoring 500+ gas station equipments
- Evolution of OCPP-compliant electric vehicle charging infrastructure supporting 50+ stations
- Python-based data processing system handling 1M+ daily metrics with sub-second query performance
Cost Reduction
- Implementation of asset tracking systems.
- Integration of Simbase MVNO for secure IoT device connectivity across 1,000+ devices, reducing costs by 85%
- Integration of Teltonika networking devices for reliable field connectivity with custom configurations
DevOps & Data Engineering
- CI/CD pipelines for Python and .NET microservices using Docker and GitHub Actions
- Real-time monitoring dashboards with Grafana
- Secure communication between 1,500+ field devices and cloud services with end-to-end encryption
- Terraform deployments for multi-environment infrastructure
Technical Leadership
- Integration of diverse hardware systems (fuel dispensers, Tank Gauges, EV chargers, IoT sensors) into unified platform
- Architecture design for telemetry collection on 500+ remote sites with offline capabilities
- Migration of legacy systems to modern cloud platform architecture
- Design and implementation of fleet management and asset tracking solution for 1,200+ assets worldwide
Key Projects
- Hermes: Integration of external supervision system into Madic solution processing 2M+ metrics daily
- Simbase / Teltonika: Overhaul of connectivity solution on the field for 1,500+ devices with 99%+ reliability
- MagView: Cloud monitoring platform for fuel stations with real-time telemetry across 8+ countries
December 2021 – May 2024
Oxia Initiative | Cloud Architect¶
Project: ESG data platform
Cloud Architecture
- Designed cloud platform processing 500GB+ of ESG data with analytics capabilities
- Migrated from on-premise to AWS, improving processing speed by 70% and reducing costs by 45%
- Implemented distributed data architecture handling 300+ simultaneous analytics workloads
- Established multi-region redundancy for critical financial services
DevOps & CI/CD
- Created end-to-end deployment pipelines with GitLab CI, cutting release cycles from weeks to hours
- Built version-controlled data pipeline system ensuring reproducible analytics across environments
- Orchestrated zero-downtime migration from OpenStack to AWS for business-critical systems
- Implemented role-based secret management supporting team members with audit capabilities
Development Environment
- Standardized developer environments with Docker, reducing onboarding time
- Created seamless local-to-cloud workflow for distributed and internationnal team collaboration
- Designed secure credential handling system for both local and cloud environments
- Built automated dataset synchronization integrated with version control and database schemas
February 2023 – July 2023
Wyca Robotics | Architect¶
Project: Support development and operations for robotics applications in logistics
CI / CD Pipelines GitLab CI
- Full robot virtualisation with various architecture and controller
- Dynamicaly link part of the pipeline with onboard real hardware and sub systems
- Support various CPU architecture
- Connectivity and FOTA on site
Dev environment
- Create ready to use tools for dev team
- Local dev virtualisation solution
- Move onboard workloads to Docker
- Secret management beetween cloud and robots usign GPG.
Onboard Engineering
- Network evolutions (Ethernet, CAN, MODBUS)
- Electrical engineering
- Computer specs & testing
- Monitoring and Metrics
January 2020 – October 2023
OuiCheck | Cloud Architect¶
Project: Quality control solution for McDonald's.
Cloud Architecture (AWS)
- Design, deployment, and maintenance of a multi-region AWS architecture.
- Kubernetes (EKS) multi-cluster, with one cluster per region.
- S3 storage.
- RDS database.
- Lambda functions.
- IoT architecture connected between sales locations and cloud services.
Infrastructure as Code (IaC)
- Infrastructure deployment and management using Terraform and Pulumi.
- Setup and maintenance of a CI/CD pipeline (for both infrastructure and application) with GitLab CI.
- Docker image artifact management.
- Secret management in the CI/CD pipeline using GPG encryption.
Scalability and Resilience
- Handling peak activity with auto-scaling using Horizontal Pod Autoscaler in Kubernetes.
- Leveraging Fargate to enable horizontal scaling of Kubernetes clusters.
- Managing cross-region asymmetry issues on AWS, including:
- Inter-region resilience.
- Service availability by Availability Zone (AZ).
Training and Support
- Training a team of data scientists to be autonomous in using the deployed infrastructure and tools.
- Providing support to company leadership by defining service offerings:
- Analysis of operational constraints.
- Assessment of service profitability.
March 2019 – September 2021
Boston Consulting Group | Cloud Architect¶
Project: Supported multiple consulting case with cloud and DevOps strategies.
Cloud Strategy and Architecture
- Multi cloud design & deploy tool across AWS, Azure, GCP, and Ali Cloud.
- Used Neo4J (graph DB) to optimize cloud solution selection.
Infrastructure as Code (IaC)
- Wrote Terraform and Ansible templates for different cloud providers.
- Set up multi-cloud deployment patterns.
CI/CD & Deployment
- Established CI/CD pipelines with GitLab-CI, Terraform, and Pulumi.
- Deployed Kubernetes setups (AKS, Spark clusters, Dask, Neo4J).
Scalability & E-Learning Platform
- Built a scalable internal e-learning platform capable of handling 700+ concurrent users with live video.
Big Data & Analytics platform
- Large scale processing of ESG data and analysis on Credit Agricole investements portfolio
March 2017 – September 2024
Hadrian Advisors | Cloud Architect¶
Project: Developed infrastructure to support data scientists and AI research.
Infrastructure Modernization
- Designed and modernized internal infrastructure.
- Deployed cloud services on Scaleway and AWS.
Data & AI Solutions
- Data/AI pipelines with Azure Databricks.
- Dask processing clusters
- Realtime financial market data ingestion and processing
Key Client Projects
- Generali: Fraud detection platform (Neo4J, Rancher Kubernetes, Synology/Minio).
- SucDen: Predictive analysis of sugar prices in Asia.
April 2018 – December 2018
Orange | Cloud Architect¶
Project: Developed a cloud and mobile app for Orange Poland.
Tasks
- Deployed cloud infrastructure (AWS, OpenStack, Kubernetes, OpenShift).
- Built and maintained CI/CD pipelines (GitLab, GoCD, Ansible).
- Managed logs using Elastic Stack.
Tech Stack: AWS, OpenStack, Kubernetes, Terraform, Elastic Stack, Ansible
June 2016 – December 2016
HyperCube Research | DevOps Engineer¶
Project: Developed a predictive analytics product using big data.
Tasks
- Deployed cloud infrastructure on AWS.
- Set up CI/CD pipelines with Jenkins and Ansible.
Tech Stack: AWS, Jenkins, Ansible, Terraform