Bouarfaoui Othman

- Manage and optimize data application deployments in various Kubernetes namespaces

- Ensure high availability and performance of deployed services

- Implement and maintain CI/CD pipelines via ArgoCD

- Monitor the performance and security of PostgreSQL databases

- Maintain the JupyterHub infrastructure for data scientists

- Automate processes via Argo Workflows

- Participate in incident resolution and continuous improvement

Technical Environment: Kubernetes, Docker, Helm, Rancher, ArgoCD, Gitops, Postgresql, Jupyterhub, Spark,

Grafana, Prometheus, Trino, Open Meta Data, Kafka, Livy

Project: Design and implementation of application architectures within the Anti-Money Laundering and Counter-Terrorist Financing Surveillance department across various environments (treatment organization and scripts, DevOps, Cloud work...), data management (analysis, preparation, and ingestion), implementation and maintenance of processes or algorithms (data and/or Data Science algorithms processing, code industrialization), performance and security monitoring.

- Organize the design of application architectures and guide technical solution choices

- Lead operational committees or meetings on technical and/or Data topics

- Propose and implement data preparation and valorization approaches.

- Conduct development work – Python, Spark, and specific processing scripts and maintenance of existing systems,

- Participate in data analysis,

- Industrialize processes and monitor data quality

- Ensure production monitoring and operational maintenance of assets.

- Monitor and communicate on incidents related to Application Production.

- Participate in Tuning / Back testing activities

- Contribute to the implementation of IT department best practices and standards: agile methods, DevOps, quality and security controls for developments, ...

- Consistently contribute to documentation updates

- Conduct prospecting work on new solutions and/or emerging use cases

- Monitor and optimize solution hosting costs

- Methodology: Agile SCRUM

Technical Environment: Hortonworks HDP, IntelliJ, Linux, Jira, Python, SPARK, SQL, Bitbucket, Jenkins, XL Deploy, XL Release Google Cloud Platform (Airflow, Composer, Big Query, Dataproc, Pub/Sub, Google Kubernetes Engine)

Context: Administration & operation of the Hadoop Build/Run platform

 Big Data / DevOps Engineer

- Administration of Hadoop Cloudera Data Platform environments

- Implementation of an automated supervision chain (sensu-go, filebeat, metricbeat, prometheus, JMX exporter, grafana)

- Automated cluster deployment (MAPR, CDP) via Ansible

- Implementation of a CI/CD chain (jenkins, ansible, git)

- Monitoring of Big Data platforms (Grafana, Prometheus, filebeat, metricbeat)

- RUN Management (Incidents, requests, technical jobs, maintenance operations)

- Writing and updating operational procedures and architecture documents

 Scrum Master:

- Organize and lead various Agile rituals with developers and business teams

- Identification of areas for improvement

- Monitoring and implementation of identified action plans

- Facilitate team communication and collaboration

- Contribution to the daily implementation of Agile methodology

- Monitoring the Sprint Backlog on Jira