Joel Latale

Project: Management of the Devops stack - KAFKA-MONGODB

Objective: Management of CI/CD platforms - Kubernetes and Kafka

Achievements:

Deployment of applications on the Kubernetes platform

● Implementation of a CI/CD chain

● Integration of projects into the CI/CD pipeline

● Kafka Cluster Administration

● Kafka Project Integration

● Creation of Grafana dashboards

● MongoDB Administration and Integration

● CD Scripting with Gitlab CI - Argo CD

● Integration of storage on Amazon S3

● Automation of certificate renewal

● Documentation Writing

● Run

Technical Environment: Kubernetes, Docker, Gitlab, Gitlab-CI, Amazon S3, Vault, Artifactory, Prometheus, Grafana,

Kibana, GCP, KAFKA, MongoGB, AKHQ, ARGO CD, skills=[SkillTranslatableContent(id=DevOps, type=GLOBAL, name=DevOps), SkillTranslatableContent(id=Apache Kafka, type=GLOBAL, name=Apache Kafka), SkillTranslatableContent(id=Kafka Connect, type=GLOBAL, name=Kafka Connect), SkillTranslatableContent(id=Kafka Streams, type=GLOBAL, name=Kafka Streams), SkillTranslatableContent(id=MongoDB, type=GLOBAL, name=MongoDB), SkillTranslatableContent(id=Google cloud, type=GLOBAL, name=Google cloud), SkillTranslatableContent(id=Amazon S3, type=GLOBAL, name=Amazon S3), SkillTranslatableContent(id=Gitlab CI/CD, type=GLOBAL, name=Gitlab CI/CD), SkillTranslatableContent(id=Kubernetes, type=GLOBAL, name=Kubernetes), SkillTranslatableContent(id=Artifactory, type=GLOBAL, name=Artifactory), SkillTranslatableContent(id=Docker, type=GLOBAL, name=Docker)]

Project: Development of an API for creating Big Data clusters

Objective: Implementation of a Kubernetes platform and development of a Python API

Achievements:

● Implementation of a Kubernetes platform

● Implementation of a CI/CD chain

● Development of an API for creating big data clusters

● POC Migration to GCP cloud

● Development of new features

● Documentation

● Run

Technical Environment: Kubernetes, Docker, Jenkins, Fluentd, Artifactory, Prometheus, Grafana, Kibana, GCP,

Python, PyCharm, Flask, Django ORM, SQLAlchemy, psql, PostgreSQL, Redis, Airflow, Ansible, Open API, skills=[SkillTranslatableContent(id=Kubernetes, type=GLOBAL, name=Kubernetes), SkillTranslatableContent(id=Python, type=GLOBAL, name=Python), SkillTranslatableContent(id=Docker, type=GLOBAL, name=Docker), SkillTranslatableContent(id=PostgreSQL, type=GLOBAL, name=PostgreSQL), SkillTranslatableContent(id=Ansible, type=GLOBAL, name=Ansible)]

Study and implementation of a Cloud CI/CD platform & DEVOPS BIG DATA Engineering

Achievements:

- Study and implementation of a continuous integration and deployment (CI/CD) platform

- DevOps awareness

- Installation of BIG DATA Middleware components (HDP, Zookeeper, KAFKA, Flink, Cassandra, Kafka Connect, Elastic search, Logstash, Kibana, Filebeat, X pack, Kerberos)

- Construction of a development stack toolchain (utility for JAVA & SCALA developers)

- BIG DATA Architecture (Hadoop, KAFKA, Elastic Stack)

- Jenkins script development

- Development of a Jenkins pipeline management library

- Development of automated deployment scripts (Ansible)

- Security of micro-services (SSL certificate, authentication token, ...)

- Construction of a Big Data architecture for log management and monitoring (format definition,

- Monitoring of environments, JVMs, and the BIG DATA stack (Prometheus, Grafana)

- Project Support (Scrumsmanship, branch management, version management)

- API Management: Open API, Swagger.

Technical Environment: IntelliJ, WebSphere Liberty Core, Ansible, Cassandra, Flink, Kafka, Warp10, Maven, Linux(RHEL8), CQL, Jenkins, Kubernetes, Hdsf, Hadoop, Spark, Hbase, Hive, Kafka Connect, ES, Logstash, Kibana, Filebeat, Metricbeat, X Pack, Gitlab, Kerberos, Prometheus, Grafana, Docker, Python, Scala.