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Les derniers profils Amazon CloudWatch connectés

CV Consultant Cloud
Xian

Consultant Cloud

  • SAINT-LOUIS
Azure Cloud AWS DevOps Apache Spark Google Cloud Platform Big Data Databricks
Disponible
CV Service delivery manager
Walaa

Service delivery manager

  • SURESNES
ITIL
Disponible
CV Architecte ANSIBLE
Philippe

Architecte ANSIBLE

  • Issy les Moulineaux
Ansible Docker Kubernetes Amazon AWS Azure Google Cloud Platform Amazon CloudWatch Python Perl GitLab
Disponible
CV Senior Cloud-DevOps Engineer
Saifeddine

Senior Cloud-DevOps Engineer

  • NANTES
DevOps Kubernetes Azure CI/CD HashiCorp Terraform Google Cloud Platform Cloud AWS GitLab Grafana
Bientôt disponible
CV Concepteur/ Développeur Java/JEE - Support aux projets des DSI.
Samuel

Concepteur/ Développeur Java/JEE - Support aux projets des DSI.

  • CONFLANS SAINT-HONORINE
Cloud AWS Java SQL WebLogic J2EE Windows Amazon AWS AWS KMS AWS Lambda AWS Security Hub Amazon EC2 Amazon EFS Amazon VPC Amazon Kinesis Amazon Redshift Amazon EMR Amazon CloudWatch Amazon Rekognition Amazon SageMaker AWS CloudFormation
CV Architecte Cloud
Souadou

Architecte Cloud

  • POISSY
Cloud AWS Azure Linux Windows Script Shell Oracle PowerShell
CV Cloud Architect & DevOps Expert
Ahmed

Cloud Architect & DevOps Expert

  • NANTERRE
Kubernetes DevOps Cloud AWS Docker CI/CD HashiCorp Terraform GitLab Linux Amazon AWS Azure
CV DevOps DEVOPS
Luc Jean Jules

DevOps DEVOPS

  • LE BLANC-MESNIL
DevOps Unix Docker CFT Automate Axway Integrator Ansible Kubernetes Cloud AWS Control-M
CV Data Engineer Confirmé
Said

Data Engineer Confirmé

  • CACHAN
MySQL Python Azure Data Factory Microsoft Power BI Apache Kafka PySpark Big Data Azure Cloud AWS Google Cloud Platform
CV DevOps Cloud AWS
Zohir

DevOps Cloud AWS

  • MASSY
Cloud AWS HashiCorp Terraform Jenkins Ansible Docker Kubernetes
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Exemple des emplois de Xian,
freelance AMAZON CLOUDWATCH résidant dans le Haut-Rhin (68)

Expérience professionnelle

Work experience
Cloud and System Engineer, August 2024 – now, comparis.ch, Switzerland
Industry: E-commerce / insurance
● Established and evolved the Cloud Operating Model to support a growing portfolio of product teams. Defined clear service
ownership, escalation paths, and standardized operational procedures for the Azure platform, improving cross-team
collaboration and incident response efficiency.
● Orchestrated the development of a secure, multi-tenant internal platform centered on Azure Kubernetes Service (AKS).
This standardized runtime environment accelerated development velocity for product teams while enforcing consistent
security and cost controls through automated policies.
● Drove cloud financial accountability (FinOps) by implementing detailed cost allocation through resource tagging, coupled
with automated reports and optimization recommendations. This initiative increased cost transparency and enabled
data-driven budgeting discussions with product owners.
● Ensured platform security and compliance readiness by integrating guardrails such as Azure Policy and Kyverno for
cluster security, and Microsoft Defender for threat protection. Established a centralized observability stack with
Prometheus/Grafana/Loki for unified monitoring, alerting, and SLA reporting.
Key Technologies: Azure, AKS, Terraform, Helm, Argo CD, Prometheus, Grafana, Loki, Kyverno, Azure Policy, Azure Monitor,
Microsoft Defender for Cloud.
Cloud Migration Engineer, January – July 2024, Simon-Kucher Engine GmbH, Germany
Industry: E-commerce and retail
● Architected and implemented the new cloud-native data warehouse and ETL foundation on AWS as part of a strategic
migration. The design prioritized scalability, reliability, and security, serving as the single source of truth for business
intelligence.
● Built a scalable and secure data lake foundation using Apache Iceberg table format on Amazon S3, enabling efficient
large-scale analytics and future-proof data governance capabilities.

Ensured infrastructure reliability and consistency by developing the entire platform with Terraform/Terragrunt, applying
infrastructure-as-code principles to manage data pipelines, orchestration (AWS Glue Workflows), and processing jobs
(AWS Glue Spark) in a repeatable manner.
● Optimized performance and cost by designing data processing workflows (Scala/Python) and storage strategies aligned
with AWS best practices and the Well-Architected Framework.
Key Technologies: AWS (Glue, S3, Lake Formation, IAM), Apache Iceberg, Terraform/Terragrunt, Scala, Python.
Cloud DevOps and Architect, April – December 2023, Adevinta ASA, Germany
Industry: E-commerce and retail
● Led the architecture and delivery of a business-critical, multi-cloud data platform spanning AWS and Google Cloud
Platform (GCP) to power real-time analytics. Acted as the technical owner, coordinating between data engineering,
analytics, and product teams to align platform capabilities with business objectives.
● Architected a hybrid, event-driven pipeline on GCP using Pub/Sub, Dataflow, BigQuery, and Cloud Composer (Airflow).
On AWS, designed and implemented complementary data lake and processing services using S3, SQS, Glue, and Athena
to create a best-of-breed architecture.
● Productized the platform as an internal “Data Product” with a focus on developer experience: established self-service
documentation, standardized deployment templates, and clear operational runbooks, reducing time-to-insight for data
scientists and analysts by an estimated 30%.
● Implemented a unified security and governance layer across clouds: Enforced access controls with AWS IAM and GCP
IAM, configured centralized logging via AWS CloudTrail and GCP Cloud Logging, and established monitoring dashboards
with Amazon CloudWatch and GCP Cloud Monitoring for cross-platform visibility.
● Ensured infrastructure consistency and compliance by managing all resources as code with Terraform/Terragrunt, and by
conducting regular architecture reviews based on the AWS Well-Architected Framework and GCP Architecture
Framework.
Key Technologies: AWS (S3, SQS, Glue, Athena, IAM, CloudTrail, CloudWatch), GCP (BigQuery, Dataflow, Pub/Sub, Cloud
Composer, IAM, Cloud Operations), Terraform/Terragrunt, Kafka, Spark.
Cloud DevOps, November 2022 – March 2023, Edeka Digital GmbH, Germany
Industry: Retail
● Spearheaded the technical delivery of cloud migration projects within an agile Scrum framework. Acted as the central
technical consultant and enabler for development teams on all architecture-related matters, facilitating the adoption of
cloud best practices.
● Championed and enforced the Azure Well-Architected Framework across all migrated workloads, conducting design
reviews to ensure excellence in cost optimization, security, reliability, performance, and operational efficiency.
● Designed and implemented the secure network and security foundation for the new Azure environment, including a
Hub-and-Spoke topology with Azure Firewall, Network Security Groups (NSGs), and firewall policies as part of a zero-trust
strategy.
● Drove governance and consistency through Infrastructure as Code (IaC) by developing reusable Terraform modules for
core services and landing zone components. Automated deployment and governance pipelines to ensure compliance and
reproducible environments.
Key Technologies: Azure, Azure Well-Architected Framework, Terraform, Azure Policy, Microsoft Defender for Cloud, Azure
Firewall, High Availability & Disaster Recovery designs.
Senior Consultant, August – October 2022, Centa MG GmbH, Germany
Industry: Consulting and automotive
● Advised a key client on cloud data architecture and migration strategy, leading a focused team to define the technical
roadmap for moving enterprise data to AWS.
● Architected and initiated the build-out of a modern data analytics foundation on AWS, including a scalable data warehouse
and automated ETL pipelines to ensure efficient data processing and transfer.
● Ensured infrastructure quality and automation by developing the core data infrastructure (AWS Glue, EMR) using
Terraform, establishing a repeatable and maintainable code base for the client.
Key Technologies: AWS (EMR, Glue, S3), Terraform, Apache Spark.
Cloud Engineer, September 2021 – July 2022, Mercedes Benz Tech Innovation GmbH, Germany
Industry: Automotive
● Modernized and productized a key machine learning project (vehicle repair rate prediction) by migrating it to a scalable,
cloud-native architecture on Azure, transforming an isolated Python model into a maintainable production pipeline.
● Designed and implemented the core MLOps foundation, automating the ML workflow with Azure Data Factory for data
ingestion and MLflow on Azure Databricks for experiment tracking, model governance, and reproducibility.
● Built and delivered a data visualization product for business stakeholders by developing a Grafana dashboard platform on
top of a Delta Lake architecture, enabling direct access to analytical insights.
Key Technologies: Azure, Databricks, Delta Lake, Apache Spark, MLflow, Azure Data Factory, Grafana, Python.
Cloud Engineer, February 2019 – August 2021, Island Labs GmbH, Germany
Industry: Manufacturing (Furniture)
● Contributed to the design and operation of a fully cloud-native platform on AWS for the automated validation of complex
kitchen design plans, utilizing knowledge graphs and geometry algorithms.
Developed and containerized the core validation logic into scalable microservices, which were deployed and managed on
Amazon EKS (Elastic Kubernetes Service).
● Implemented comprehensive monitoring and logging for the entire platform using Amazon CloudWatch and AWS X-Ray to
ensure observability and proactive issue detection.
Key Technologies: AWS, EKS, Helm, Neo4j, Python, .NET.
Early career: Software development
AI Developer | MedVision, China | Feb 2016 – Aug 2016 | Tech: .NET
Backend Developer | Shanghai Teso Co., China | Jan 2013 – Dec 2014 | Tech: Java, Spring Framewor

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