Ritesh Shukla
About Ritesh Shukla
Ritesh Shukla serves as the Director of Data Engineering at Red Ventures, where he has worked since 2017. With over a decade of experience in data engineering, he specializes in data warehousing, business intelligence systems, and big data technologies.
Work at Red Ventures
Ritesh Shukla serves as the Director of Data Engineering at Red Ventures, a position he has held since 2017. In this role, he oversees data engineering initiatives and leads a team focused on optimizing data processes. His work involves leveraging advanced data technologies to enhance business intelligence systems and improve data warehousing capabilities. Based in Los Angeles, California, he contributes to the organization's data-driven decision-making strategies.
Education and Expertise
Ritesh Shukla holds a Bachelor of Engineering (B.E.) in Production, which he completed from 1995 to 1999. His educational background provides a foundation for his extensive expertise in data engineering. He is skilled in using various MPP solutions, including HPE Vertica and Amazon Redshift. Additionally, he possesses proficiency in data visualization tools such as Tableau and has a strong command of big data technologies, including Hadoop HDFS, Hive, and Spark (pyspark).
Background
Ritesh Shukla has over a decade of experience in the field of data engineering, with a focus on data warehousing and business intelligence systems. He began his career at Hexaware Technologies, where he worked as a Technical Architect from 2004 to 2010. Following this, he served as a Senior Data Engineer at YP from 2014 to 2017 in Glendale, California. His diverse industry experience spans media and advertising, financial services, and asset management.
Achievements
Throughout his career, Ritesh Shukla has developed expertise in performance tuning for SQL, ETL workflows, and databases. His technical skills have contributed to the successful implementation of data solutions across various organizations. His role in data engineering has enabled him to drive improvements in data processing efficiency and effectiveness, aligning with organizational goals in the sectors he has worked in.