Prasad Ravilla

Prasad Ravilla is a seasoned leader in the field of data engineering with a strong track record of managing data engineering teams and delivering innovative solutions across various industries.

Currently serving as the lead engineer for the big data analytics and BI platform at OfferUp, Prasad has excelled in designing and implementing solutions for data warehousing, data lakes, BI, and data integration in sectors such as ecommerce, digital advertising, retail, finance, and more.

With exceptional leadership and management skills, Prasad adeptly leads data teams in agile settings, collaborates with stakeholders to drive development objectives, and spearheads the creation of KPIs and OKRs aligned with organizational goals. He fosters transparent communication, mentors team members, and remains flexible in dynamic environments.

Prasad's technical expertise spans the development and management of scalable data warehouses, big data pipelines, and ETL solutions leveraging tools like Apache Airflow, Apache Spark, AWS Kinesis, and more. He is proficient in working with databases such as Snowflake, RedShift, Greenplum, and various NoSQL databases, along with programming in Python, Java, Scala, and SQL. Additionally, he is well-versed in cloud technologies, machine learning, and diverse processes like EC2, Docker, Git, and more.

Educationally, Prasad holds an MBA from the University of Iowa and a BS in Computer Science from the University of Madras. His professional journey includes roles at reputable organizations like DoorDash, eBay, Slalom, ADP, and Pella Corporation, where he has contributed significantly to data engineering and architecture.

Prasad's multi-faceted career showcases his expertise in data engineering, leadership, and technical innovation, making him a valuable asset in the realm of big data analytics and business intelligence.