Worked as a Senior Database Engineer in EDM group. Supported Wells Fargo EDM database on Oracle, Postgres, YugaByte, and MongoDB. Supporting internal IT divisions using servicenow ticketing system and Jira Kanban card and on-call rotation Undergone mandatory and security trainings
Rearchitected database design to improve performance Implemented interval table partitioning with table having 75+ million rows Developed shell script to automate export and import of database Refreshed schema from production to non-production environments Implemented tablespace encryption
Completed Google Certified Associate Cloud Engineer Completed AZ-900 Azure cloud certification Essential Google Cloud Infrastructure: Foundation Docker and Kubernetes, DevOps, Jenkins, Trivy, Anchore Completed Building a Modern CI/CD Pipeline with Jenkins Getting Started with Docker Multipass/VirtualBox Docker Swarm Docker Deep Dive Installing and Configuring Splunk Getting Started with Kubernetes Completed Postgres training Completed YugaByte training Trained in Big Data HDFS, Mapreduce, Spark, Hive, Pig
Using Kanban board to update work that are unrelated to ticket or INC ticket Installed Kubernetes cluster and developed application to access Mongodb from mongo-express Installed ubuntu and centos servers Install ansible and created ansible playbook Mentoring team members on cloud technologies Environment: Oracle 19c, Oracle RAC, Exadata, Oracle 19c, Postgres, MongoDB, Azure, Data Redaction, Auditing, Transparent data encryption, SecureCRT, Service-Now, Jira, Azure DevOps, AWS, GCP, Azure, PulseID, Agile methodologies, KanBan, Linux, OEM, Terraform, Ansible, Kubernetes, Splunk