Kandela Mahesh

I am a dedicated Data Engineer with over three years of experience in designing and implementing scalable data pipelines and cloud-native architectures. My proficiency in AWS, Apache Spark, and Airflow has enabled me to deliver robust data solutions that meet dynamic business needs. I have a proven track record in data warehousing and ETL pipelines, ensuring production-ready solutions on both AWS and Azure platforms.

At CitiBank, I automated data ingestion processes, saving over 8 hours weekly, and engineered high-throughput pipelines that process over 2 million records daily. My efforts in enhancing ETL processes with Apache Airflow boosted processing efficiency by 20%. I have also refined Hadoop operations, achieving a 60% reduction in reporting delays, and developed interactive Power BI dashboards that improved reporting efficiency by 30%.

Previously, at Microspark Solutions, I automated Python-based workflows, saving 35 hours monthly, and designed scalable ETL architectures that streamlined data migration to Redshift and Snowflake. My educational background includes a Master's Degree in Business Analytics from Trine University, which has equipped me with the analytical skills necessary to drive data-driven decision-making.