Python, Data, Data Engineering.
for efficient data processing and analytics. — (4–5 weeks). - Understand containerization and orchestration technologies (e.g., Docker, Kubernetes). Understanding containerization and orchestration technologies like Docker and Kubernetes is essential in data engineering for packaging and deploying