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Pierre LatiPL

Pierre Lati

Senior DevOps and Data Engineer

€850/day
6 projects
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Pierre

Data / DevOps / Cloud / AI

20 years of experience

Typical project examples:
- Implementation of a complete Data platform
- Scaling of application platforms suffering from performance issues (via distributed architecture and/or algorithm optimization).
- Implementation of DevOps processes: deployment industrialization (IaC, CI/CD, DR), FinOps cost management
- Design and deployment of RAG (Retrieval-Augmented Generation) solutions enabling companies to leverage their internal data through AI assistants connected to their documentation, business tools, and knowledge bases.

Client profile:
Start-ups, Mid-sized companies, SMEs

I enjoy wearing the technical-functional hat. I appreciate both the proximity with the business to help identify challenges and needs, and then to identify suitable and innovative technical solutions.

Have a topic? Contact me for a free audit!
  • English

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Peftrust
    DevOps Engineer - Kubernetes
    December 2025 - February 2026 (2 months)
    Paris, France
    Scaling of the existing platform from a monolithic architecture to a distributed Kubernetes architecture on a sovereign cloud to support the platform's increased usage and ensure high availability

    - Development, sizing, and deployment of a Kubernetes architecture
    - Infrastructure set up via IaC (Terraform)
    - Implementation of a monitoring layer (Technical resources and FinOps)
    - Implementation of a security layer (VPC, Firewall)
    - Implementation of a CI/CD layer
    Kubernetes Scaleway Terraform CI/CD Docker
  • MAEE
    Data Architect
    MEDICAL
    March 2025 - Today (1 year and 5 months)
    Design and Implementation of a complete data platform, including the following layers:
    • Data: ingestion, transformation, orchestration, storage, reporting
    • Infra: Via IaC. Goal: to be able to set up an infra "from scratch" and scale the architecture on demand
    • Containerization (Docker). Goal: to be able to "port" the application regardless of the chosen platform.
    • CI/CD: to ensure reliability of evolution versions and their deployment.
    • Security: Example: encryption, VPC, rights management, reverse proxy, VPN...
    • Monitoring: alerts and rejection management
    • DR (backup and restore)
    Scaleway Python VPN DevOps Terraform
  • BPCE-SI
    Senior Data Engineer
    BANKING AND INSURANCE
    February 2025 - Today (1 year and 6 months)
    Paris, France
    - Evolution of existing data flows: (new features, strengthening data quality, performance improvement, automation of previously manual data processes)
    - Infrastructure evolution via IaC
    - Consideration of new business needs and development of new data flows
    Cloud GCP Apache Spark Terraform Big Query

Reviews

5.0

Out of 6 ratings

ThierryT

Thierry

Asendia Management SAS

Reviewed on 2/28/2020

ThierryT

Thierry

Asendia Management SAS

Reviewed on 2/10/2020

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Education

  • Master in Business Intelligence
    Grenoble Ecole de management
    2003

Skill set

Categories