Strong leader and problem-solver dedicated to streamlining operations to decrease costs and promote organizational efficiency. Uses independent decision-making skills and sound judgment to positively impact company success.
• Fully responsible for creating and growing the ELK stack (ES 2.x to 5.6 to 6.6 to 7.5.1 to 7.16.2 to 7.17.9), comprising both platform upgrades and index upgrades and the translation of the data or data format from database tables to ES indices. led the design and architecture and piloted the project. full responsibility for creating and growing the ELK stack (ES 2.x to 5.6 to 6.6 to 7.5.1 to 7.16.2 to 7.17.9), comprising both platform upgrades and index upgrades and the translation of the data or data format from database tables to ES indices. led the design and architecture and piloted the project.
• The current ES version in use is 7.17.9, and the plan is to promote the cluster to the SAAS ES cloud environment, working on the security clearance.
• Knowledge and understanding of the elements involved in cloud topology (EC2 instances, EBS volumes, AMI, CloudFront, creating VPC networking layer within), as it is currently hosted in Kubernetes platform (Digital platform) via Macquarie proprietary tool Arturo (basically a gateway to talk to Cloud layer maintaining Macquarie security protocols), can be discussed when deploying ES Instances in GKE cloud.
• Using Jenkins, Kubectl, Docker, and Sourcetree to do CI/CD tasks while setting up ELK on the Kubernetes platform.
• Troubleshooting/fixing all kinds of downtimes or important Production environment application outages. Interacting with business and functional stakeholders, updating their agile needs, and supplying deliverables every two weeks.
• Defining primary nodes, replicas, and shards for the Elastic Stack's structure; clustering the distributed system; establishing the index structure settings; and mapping documents and fields using RDBMS/JSON.
• Building a robust search engine with Elasticsearch at the API layer by executing document-based search operations, indexing data, retrieving, configuring token filters, applying analysers in mapping, and completing all CRUD activities.
• Used DSL querying to parse and index events or logs and apply multiple degrees of analytics to production data.
• Logstash ETL Tool is used to build a pipeline for parsing and indexing events or logs and applying multiple degrees of analytics. Kibana is used to visualise the application layer and produce charts, maps, and bars. Logstash scripts are used to ingest data into Elastic Stash from beginning to end. Assistance is provided to help develop the REST API layer that the application layer uses to obtain ES.
• Experience applying different Project Management methodology approaches in Agile development as Scrum/ Kanban. As the business demands are constantly changing.