Create a containerized data processing pipeline orchestrated by Kubernetes and provisioned using Infrastructure as Code tools to automate scalable data workflows for analytics applications.
Design data ingestion and processing workflow.
Develop data processing scripts.
Containerize processing modules.
Deploy containers on Kubernetes.
Configure persistent volumes.
Implement batch jobs using Kubernetes Jobs.
Write Terraform scripts for infrastructure setup.
Automate storage provisioning.
Enable autoscaling based on workload.
Monitor job execution metrics.
Test fault recovery mechanisms.
Validate pipeline performance.
Optimize container resource allocation.
Document system design and automation scripts.
