Dhiraj Shivnani
About Dhiraj Shivnani
Current Position at Delivery Hero
Dhiraj Shivnani currently works as a Data Engineer at Delivery Hero in Berlin, Germany. He is responsible for developing and optimizing data pipelines for the Salesforce analytics team. In his role, he leverages his expertise in Python and Spark to streamline ETL processes and improve data workflows.
Previous Experience at Red Hat
Prior to his current role, Dhiraj worked at Red Hat as a Senior Data Engineer from 2019 to 2022. During his tenure, he honed his skills in data engineering, focusing on the development of automated ETL scripts and managing complex data infrastructure. His responsibilities also included handling multiple SQL databases and ensuring efficient data pipeline operations.
Experience at Tata Consultancy Services
Dhiraj Shivnani started his professional career as a Data Engineer at Tata Consultancy Services in Bengaluru, Karnataka, India, where he worked from 2016 to 2019. During this period, he accumulated substantial experience in data engineering and analytics. His work involved managing databases and utilizing various data services to support business operations.
Educational Background
Dhiraj Shivnani completed his Bachelor of Engineering (B.E.) in Electronics and Instrumentation Engineering from Medi-Caps Institute of Technology & Management Rau, Indore. He studied there from 2012 to 2016. Prior to his higher education, he attended Aditya Birla Public School, focusing on Mathematics Science at the high school level, and Fatima Convent Higher Secondary School for his secondary education.
Technical Skills and Tools
Dhiraj possesses a comprehensive skill set in data engineering. He is proficient in managing SQL databases like PostgreSQL, MySQL, Oracle, and Telemetry (PromQL). He has experience with Amazon Data Services, including AWS Redshift, S3, and EC2, as well as Snowflake. Additionally, he has operational knowledge of version control systems like GIT, Jenkins, JIRA, Docker, Kubernetes, and Openshift. He also works with scheduling tools such as Apache Airflow and BMC Control-M.