Building and optimizing big data pipelines, architectures, and datasets to handle large-scale data.
Enhancing infrastructure for scalability, automation, and data delivery improvements.
Developing real-time and batch processing solutions using Kafka, Spark, and Airflow.
Ensuring data governance, security compliance, and high availability.
Collaborating with product, business, and analytics teams to support data needs.
