About

Raviteja Vutukuri is a highly skilled Software Engineer with over 10 years of experience in the field of data engineering. Currently working at Lyft as a Software Engineer, Data, Raviteja has previously held senior positions at Verisk Analytics, Myspace/Viant Inc, and Fresenius Medical Care, among others. In his current role at Lyft, Raviteja is responsible for designing and developing scalable set-based UDFs using Python (psycopg2) in Amazon Redshift for all existing legacy production C++/C#/SQL Server applications and implementing performance optimization. He has also leveraged AWS services like S3, Athena, Spectrum, EMR, and Kinesis to perform analytical operations. In his previous roles, Raviteja has designed and developed robust Java ETL pipelines to migrate ad-stream data from Hadoop logs to Google BigQuery, built complex tuned Hive queries to generate daily aggregate reports on myspace video/music/web ad data, and written PIG scripts to perform ETL operations on Hadoop logs and loaded transformed data into HDFS. Raviteja's educational background includes a Master of Science (M.S.) in Computer Science from Indiana University and a B.tech in Computer Science from GITAM. He also holds degrees in MPC and SSC from Gowtham Gudavalli and SVBK, respectively. Raviteja's tech stack includes expertise in software engineering, ETL, SQL, Java, data engineering, Hadoop, HDFS, AWS, web, Python, Amazon Athena, and Apache Hive. Overall, Raviteja is a highly experienced and skilled Software Engineer with a strong background in data engineering and a proven track record of delivering high-quality solutions.