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Léopold GtLG

Léopold Gt

Solutions Architect - AWS

300 €/jour
Poitiers, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Léopold

AWS Certifications :
AWS Certified Solutions ArchitectProfessional (2023)
AWS Certified Data AnalyticsSpecialty (2023)
AWS Certified Machine LearningSpecialty (2023)
AWS Certified SysOps Administrator – Associate (2022)
AWS Certified Developer – Associate (2022)



About me:
I have worked 2 years as a Solutions Architect at AWS, and 7 years as a Solutions Engineer at Oracle. I can help you achieve success in AWS, for projects ranging from landing zone set-up, migration to AWS, containerisation, shift to noSQL databases, HA and DRP, data integration, datawarehousing, and ML Ops.
My philosophy is that I should never have access to your production data, nor advanced IAM privileges. I will help you implement data-masking and least-privileges principes, to ensure the protection of your data. For exceptions, I will help you implement a "break-the-glass" mechanism; to ensure that exceptions are noticeable, traceable, time-bound and scope-limited.
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Espagnol

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • AWS
    Solutions Architect
    mars 2022 - mars 2024 (2 ans)
    France
    Responsibilities
    Driving the success of startups and enterprises in AWS; balancing trade-offs, to achieve scale, performance and security in the Cloud.

    Key Activities
    Needs Analysis & Scoping:
    • Gathered business, technical requirements, and existing skillset
    • Evaluating technical and costs trade-offs
    Cloud Architecture Design:
    • Designed architectures to meet infrastructure, application, and data management needs.
    • Integrated principles of scalability, resilience, and security
    Data-management Design :
    • Designing data model for Datawarehouse (AWS Redshift) and Lakehouse (AWS Athena),
    • Designing data model to take advantage of skipped IO and co-located JOINs (data partitionning, bucketing/sharding, choice of sort key, etc.)
    • Deciding on Datawarehouse vs Lakehouse strategy
    • Deciding on ETL vs ELT data integration strategy
    • Deciding on real-time (a.k.a. stream analytics) vs near real-time (CDC and events streams datawarehousing) vs batch analytics
    Risk Management & Compliance:
    • Guiding security measures (IAM, encryption, auditing) fit for the company’s level of maturity
    • Ensured alignment with least privilege principle
    Cost Optimization:
    • Analyzed costs of utilized cloud services, identifying levers for optimization.
    • Provided recommendations to ensure budget control.
    Achieved Results
    • Achieved secure and scalable architecture, fit for the company’s current level of maturity
    • Ensured the engagement and upskilling of internal teams, for long-term autonomy.
  • Oracle
    Architect Data Management Solutions Engineer
    mars 2015 - mars 2022 (7 ans)
    Spain
    Responsibilities
    Driving the strategic adoption of the Cloud by supporting enterprises; from requirements gathering to overseeing implementation, optimization, and scaling of cloud solutions.
    Key Activities
    Needs Analysis & Scoping:
    • Gathered business and technical requirements, facilitating definition workshops.
    • Conducted comparative analysis of Oracle Cloud offerings in relation to internal constraints.
    Migration Strategy & Planning:
    • Defined the roadmap for migrating systems to the Cloud.
    • Developed transition plans to minimize interruptions and optimize service continuity.
    Cloud Architecture Design:
    • Designed target architectures to meet infrastructure, application, and data management needs.
    • Aligning with principles of scalability, resilience, and security from the get-go
    Risk Management & Compliance:
    • Proactively evaluated risks (technical, organizational, regulatory).
    • Guiding security measures (IAM, encryption, auditing) and ensured alignment with standards (GDPR, ISO).
    Cost Optimization:
    • Analyzed costs of utilized cloud services, identifying levers for optimization.
    • Provided recommendations to ensure profitability and budget control.
    Supervision & Continuous Improvement:
    • Planning solutions for monitoring performance, reliability, and scalability.
    • Made regular adjustments to maintain a high level of service.
    Achieved Results
    • Achieved controlled Cloud adoption with a secure and scalable architecture.
    • Migrated critical systems while minimizing interruptions.
    • Reduced operating costs through a continuous optimization strategy.
    • Ensured the engagement and upskilling of internal teams

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