Dhanagni Giddha

Results-driven Data Engineer with 4+ years of experience designing scalable ETL pipelines, cloud data platforms, and automated workflows using AWS, Databricks, Snowflake, and Airflow. Skilled in building data ingestion frameworks, optimizing PySpark jobs, and delivering reliable production-grade pipelines for analytics and reporting. Strong proficiency in SQL, Python, and modern data warehousing with hands-on experience across S3, Redshift, EC2, Glue, and real-time ingestion tools like Qlik/Attunity. Adept at collaborating with cross-functional teams to deliver high-quality, performance-optimized data solutions in fast-paced environments.