Bhanu Dandu
About Bhanu Dandu
Bhanu Dandu is a Principal Data Engineer at Rally Health, specializing in data pipeline development and anomaly detection systems. He holds a Bachelor of Technology in Electrical, Electronics and Communications Engineering from Jawaharlal Nehru Technological University, Kakinada.
Work at Rally Health
Bhanu Dandu has been serving as a Principal Data Engineer at Rally Health since 2018. In this role, he focuses on enhancing data monitoring capabilities through the development of automated anomaly detection systems. His responsibilities include architecting and implementing end-to-end ETL processes, which demonstrate his expertise in data pipeline development. Based in the San Francisco Bay Area, he contributes to the company's data engineering initiatives, ensuring efficient data processing and management.
Education and Expertise
Bhanu Dandu earned a Bachelor of Technology (B.Tech.) degree in Electrical, Electronics and Communications Engineering from Jawaharlal Nehru Technological University, Kakinada. His educational background provides a strong foundation for his technical skills. He is proficient in various query languages, including Hive, Spark SQL, and SQL, and is skilled in Unix shell scripting. His expertise extends to data visualization tools such as Qlikview, Microstrategy, and Tableau.
Background
Before joining Rally Health, Bhanu Dandu worked at Infosys as a Senior BI QA Engineer from 2011 to 2018. During his seven years at Infosys, he gained valuable experience in business intelligence and quality assurance, which contributed to his development as a data engineer. His transition to Rally Health marked a significant step in his career, allowing him to focus on data engineering and analytics in a healthcare context.
Achievements in Data Engineering
Bhanu Dandu has made significant contributions to data engineering through the development of automated anomaly detection systems, which enhance the monitoring of data quality and integrity. He has also architected and implemented comprehensive ETL processes, showcasing his ability to manage complex data workflows. His skills in Unix shell scripting further support efficient data processing, making him a valuable asset in his field.