Experienced Data Engineer with Strong Pyspark, Celery, Redis, Docker and Kubernetes Skills

I'm seeking an experienced Data Engineer who can explain and share the source code of any past project developed using Pyspark, Celery, Redis, Docker, and Kubernetes. It should have robust data pipelines and infrastructure. Your main focus will be on optimizing data ingestion, transformation, and storage processes. The ideal candidate should have a deep understanding of distributed computing frameworks like Pyspark, along with strong experience in containerization technologies such as Docker and Kubernetes. Knowledge of Celery and Redis is also required.