Sukhdevsinh Dhummad

Passionate about building scalable, efficient, and high-performance data pipelines, I specialize in big data engineering, ETL frameworks, and cloud-based data solutions. With experience in Apache Spark, Airflow, SQL, and GCP, I focus on designing and optimizing data workflows that empower analytics, AI, and machine learning models. I thrive on solving complex data challenges—whether it's streamlining ETL processes, architecting data lakes, or optimizing data pipelines for real-time analytics. My goal is to bridge the gap between raw data and actionable insights, ensuring businesses can make data-driven decisions at scale.