Who you are 5–10+ years of experience in data engineering, MLOps, or DataOps roles Strong experience building production-grade data pipelines at scale Proficiency in Python and SQL Experience with workflow orchestration tools (e.g., Dagster, Airflow, Prefect) Hands-on experience with AWS (S3, EC2, L