#devops

CI/CD for Data Pipelines — From Git Push to Production

Automate data pipeline deployments with GitHub Actions. Testing strategies, dbt CI, Terraform integration, and rollback patterns.

Kubernetes Fundamentals for Data Engineers — What You Actually Need to Know

The essential Kubernetes concepts for data engineers - pods, deployments, jobs, and resource management for Spark and Airflow workloads.

Docker for Data Engineers — Containerizing Python Pipelines

Build reproducible data pipelines with Docker. Covers multi-stage builds, dependency management, and patterns for PySpark and Airflow containers.