About

Skanda Bhargav is a skilled Software Development Engineer with over 7 years of industry experience, specializing in Big Data and Cloud technologies, Machine Learning, and Data Science techniques. He holds a Master's degree in Software Engineering from San Jose State University, where he specialized in Big Data and Cloud technologies. He is currently working as a Software Development Engineer at Amazon, where he is responsible for building scalable and reliable software systems. Skanda has extensive experience in building multi-stage real-time event-driven systems for processing streaming big data records. He has also worked on building recommendation systems for a retail giant, using machine learning on big data sets. He has handled close to TBs of data per week and designed and implemented the data pipeline for ingestion, partitioning, and archival with compression. Skanda has also worked as a Data Engineer at Cadent Technologies, where he was responsible for building data pipelines for analytics and forecasting of TV advertisements. He has also worked as a Software Engineer at Fanatics, where he was responsible for building data pipelines for analytics and forecasting of TV advertisements. Skanda is a Cloudera Certified Hadoop Developer and has experience with Hadoop, Map Reduce, Hive, Pig, HDFS, Sqoop, Oozie, HBase, AWS, DRUID, Spark, Java, Spring, Hibernate, Python, Go, R, SQL, Azkaban, Git, and Jenkins. He is an author of the book "Troubleshooting Ubuntu Server" and has a Github profile with several open-source projects. Skanda is also a Big Data faculty trainer for EduPristine and has trained over 500 students overall. He has classroom training and hands-on exercises for 40 hours/batch on weekends. Skanda holds a Bachelor of Engineering in Computer Science and Engineering from Vishveshwaraiah Technological University and a Certificate in Introductions to Data Science from the University of Washington. He is a highly skilled and experienced professional with a passion for building scalable and reliable software systems using the latest technologies.