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Mathieu K.MK

Mathieu K.

Cloud & Data Architect / FinOps — AWS, HPC, MLOps

€750/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mathieu

Senior technical architect (Solutions Architect / Tech Lead), I design and industrializeAWS Cloud, Data, and High-Performance Computing (HPC)architectures. I work with technical management and engineering teams, from scoping to production deployment and skills transfer.

AWS Cloud Architecture— scalable, secure, and highly available infrastructures: Infrastructure as Code (Terraform, Terragrunt), networking, IAM, containerization (Docker, Kubernetes), CI/CD, serverless, and automation.

HPC / High Performance Computing— sizing and optimization of computing clusters: AWS ParallelCluster, FSx for Lustre, Slurm, parallel storage, and performance tuning.

Data, DataOps & MLOps— robust data platforms and ingestion pipelines (Hadoop, Spark, Dataiku), industrialization of machine learning workflows.

FinOps— Cloud cost analysis and optimization, financial governance, and budget control.

DevSecOps & Software Architecture— CI/CD, security by design, microservices architecture, distributed systems, event-driven, observability, GDPR compliance, AWS/GCP multi-cloud.

Types of missions: architecture audit, migration to AWS Cloud, HPC and Data platform implementation, FinOps optimization, DevSecOps support, consulting, technical expertise, andlong-term technical contractingon cloud data platforms.

Sectors: energy, health and e-health, retail, industry, finance, and aeronautics.

Technologies:AWS, GCP, Terraform, Terragrunt, Ansible, Docker, Kubernetes, GitLab CI, GitHub Actions, Kafka, Prometheus, Grafana, Rust, C/C++, Python, Bash, Linux, Hadoop, Spark, Dataiku, ParallelCluster, FSx Lustre, PostgreSQL, Redis.

Open-source contributor (Linux kernel, Rust/Cargo, AWS ParallelCluster), I design robust, documented, and sustainable solutions that your teams can maintain.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

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

Experience

  • ISALYS DIGITAL LAB
    Technical Director
    CONSULTING AND AUDITS
    October 2025 - Today (9 months)
    Paris, France
    Technical Director / Head of Digital Engineering— leading the technology for the Digital Lab of a consulting firm (~350 people), specialized in **Data & AI**. I drive the technical strategy, innovation, and engineering excellence, from pre-sales to mission delivery.

    Technology Strategy & Architecture Governance— defining key technological choices, architectural standards, and best practices (**AWS/GCP Cloud, Data, DevSecOps, FinOps**); making technical trade-offs and ensuring cross-project consistency.

    R&D & Innovation Management— steering R&D activities: technology watch, prototyping, capitalization in the form of reusable frameworks and assets, exploring generative AI and autonomous agents applied to software engineering.

    Pre-sales & Technical Expertise— designing technical proposals (architecture, costing, presentations), qualifying client needs, and scoping complex missions (**Cloud, Data, HPC, MLOps**).

    Delivery Leadership— technical leadership of missions: architectural choices, securing commitments, design and code reviews, supporting field teams (e.g., taking over on-premise data platforms).

    Technical Referent & Mentoring— leading the architect and engineer community, skill development, sharing standards, and fostering a demanding engineering culture.

    Domains:Cloud architecture (AWS, GCP), Data & MLOps, HPC, DevSecOps, FinOps, microservices, IaC (Terraform, Terragrunt).

    Impact: structuring the technical offering, maturing engineering practices, and securing the most complex client engagements.
    Amazon Web Services digital transformation intelligence artificielle Python ETL processes
  • Nature et Découvertes
    DataOps Engineer
    RETAIL (LARGE RETAILERS)
    June 2026 - Today (1 month)
    Hôtel de Ville, Paris, France
    Data Architect / Tech Lead— taking over and operating an on-premiseDataLabplatform (Hadoop HDPcluster) during a knowledge transfer context. Objective: ensure service continuity, document a historically under-equipped platform, and prepare its modernization.

    Audit & Mapping— complete analysis of the architecture (HDFS, MapReduce2, Hive, Dataiku DSS), ingestion flows, and dependencies.

    Ingestion Reliability— redesign and industrialization of marketing data ingestion pipelines (Adobe Campaign / Neolane): production Bash script with dynamic partition management, incident recovery, and logging.

    Documentation & Operations— production of a recovery plan, an operational runbook, and a phase 2 preparation document; formalization of operational and disaster recovery procedures (backup / re-ingestion).

    Automation Roadmap— roadmap of 17 workstreams divided into 4 categories (ingestion, operations, monitoring, documentation) to reduce operational debt and dependency on manual interventions.

    Skills Transfer— enabling internal teams to become autonomous in routine operations and incident procedures.

    Stack:Hadoop HDP, HDFS, MapReduce2, Hive, Dataiku DSS, Bash/Shell, Linux, Adobe Campaign (Neolane), VPN.

    Results: service continuity ensured during the transfer, documented and reusable operational procedures, a solid foundation for platform modernization.
    batch processing IT project management Python IT architecture cloud integration
  • newline
    Founder
    RAW MATERIALS INDUSTRY
    May 2026 - Today (2 months)
    Hôtel de Ville, Paris, France
    newline — premium stationery brand for European developers and software engineers.
    • Design of the complete brand identity: graphic charter, typographic system, wordmark, and editorial line
    • Definition of the product range (3 items) and interior layouts designed for engineering workflows
    • Setup of e-commerce (Shopify) and the supply chain, from print-on-demand to large-scale offset printing
    • Construction of the B2B offering (co-branded editions for consulting firm technical departments) and the business model: pricing, unit economics, margins
    intelligence artificielle external API integration SRE principles UI/UX Design User centric

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Education

  • Bachelor's Degree, Computer Science
    University of South Brittany
    2021
    Licence, Computer Science

Skill set

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