Hatem Belkhir

Expert in designing, industrializing, and governing complex Cloud platforms. Responsible for technical alignment between Architecture, Security, Network, and Operations teams.

Technical Expertise & Achievements:

Cloud Engineering & Modernization: Design of multi-region/multi-tenant platforms (OP360 Architecture: Flink, MSK, EKS, Karpenter, ArgoCD). Automation via Terraform (IaC) and Ansible.

Data Engineering & Pipelines: Industrialization of MWAA (Airflow) with Azure AD SSO. Migration of Talend workloads to Airflow with dbt transformation. Management of real-time streams (Lambda, SQS, SNS, DynamoDB, Snowflake, Snowpipe).

MLOps: Implementation of end-to-end pipelines on SageMaker (training, deployment, monitoring).

Security & Observability: Adoption of Security by Design (OWASP, WAF, Trivy, IAM hardening, secrets management). Mastery of observability (Prometheus, Grafana, Loki, transition to Datadog).

Resilience: Load testing (Locust) and Chaos Engineering (AWS FIS).

Governance & Leadership: Definition of patterns, IAM standards, and RACI. Exhaustive technical documentation writing (ADR, RFC, SAD, HLD/LLD).

Knowledge Transfer: Technical referent in Agile environments (Scrum). Leading workshops and training teams on AWS, Airflow, Flink, and Kafka stacks.

Key Skills: AWS (Core Services, Serverless, Big Data), Terraform, GitLab CI/CD, Kubernetes, Apache Airflow, Snowflake, Flink/Kafka, Cloud Security.

Technical Architect within a cross-functional team, responsible for Cloud migration, modernization, and governance (IAM, multi-account, network security). Responsible for technical alignment between Architecture, Security, Network, and Operations teams.

Key Expertise & Projects:

Cloud Modernization & Migration: Leading complex migrations of legacy architectures to scalable, cloud-native solutions. Proven expertise in automation with Terraform and integration of AWS services (ECS, Fargate, Lambda, Aurora, Step Functions, SQS, Direct Connect).

Data & Streaming: Design of Data Lakes (S3, Glue, Athena, Redshift Spectrum) and migration of TIBCO flows to Kafka / Kafka Connect clusters.

Artificial Intelligence & Cognitive Services: Integration of advanced services (Amazon Rekognition, AWS Comprehend) into platforms.

Observability & Support: Implementation of application monitoring and KPI tracking with Dynatrace. Modernization of customer support services (AWS Connect POC).

CI/CD & DevOps: Industrialization of deployments via Jenkins and Docker containerization. Expertise in Java 8 and Python development.

FinOps & Management: Management of AWS cost estimations and budget forecasts.

Leadership & Knowledge Transfer: Technical referent role in Agile environments (Scrum). Leading technical workshops and supporting team skill development on the Kafka ecosystem.

Key Skills: AWS (Core Services, Serverless), Terraform, Kafka, CI/CD (Jenkins, Docker), Monitoring (Dynatrace), Cloud Architecture, Technical Leadership.