Hybrid Data Engineer & MLOps Engineer with strong expertise in building scalable data and machine learning pipelines using PySpark, Airflow, and Google Cloud Platform (GCP). Experienced in designing end-to-end ETL workflows, automating CI/CD for model deployment, and implementing data drift and model performance monitoring. Bridges the gap between data engineering and MLOps by combining efficient data infrastructure development with production-ready ML delivery. Proficient in optimizing pipeline performance, ensuring reliability, and enabling data-driven decision-making.
