terraform-data-infrastructure

You provision versioned S3 data lake buckets with lifecycle transitions, SSE-KMS encryption, and restrictive bucket policies using structured Terraform modules. This applies to repeatable dev, staging, and prod environments with remote state and state locking.

You configure least-privilege IAM roles for Spark and Airflow workloads using IAM IRSA (Identity and Resource Access) with web identity on EKS. Terraform generates the roles to enforce secure access patterns for your data platform.

Yes, you deploy Airflow and Spark History Server on Kubernetes via Terraform-managed Helm releases. This stands up streaming and orchestration infrastructure alongside MSK/Kafka clusters with encryption for your data workloads.

Use S3 remote state with DynamoDB locking or Terraform Cloud to manage state securely. You can apply optional Terragrunt DRY layouts to reduce configuration duplication while enforcing security controls across repeatable environments.

Yes, the Terraform data infrastructure provisioning supports S3-compatible MinIO for data lakes. You can create versioned buckets with appropriate lifecycle and encryption settings for environments outside of native AWS S3.

You automate Terraform plan and apply workflows using GitHub Actions CI/CD pipelines. This ensures repeatable and secure deployments for your data infrastructure components, including S3 buckets, IAM roles, and Kubernetes Helm releases.