About

Gaurav Anand is a highly experienced Cloud Solutions Engineer currently working at Google. He provides expertise and leadership in solutions architecture in the infrastructure and applications space, with a specialization in Data Analytics and Machine Learning. Gaurav is responsible for defining the business case for solutions, assisting in the design of solutions, and demonstrating thought leadership in cloud computing across multiple channels. He is a trusted advisor to decision makers and writes and publishes reference architectures, technical articles, and creates reference implementations to scale technical best practices globally. Gaurav also provides customer and market feedback to the product and engineering teams and influences product direction. He works closely with multiple product and engineering teams on understanding ways to improve the product and interacts with the Site Reliability Engineering (SRE) teams to drive production excellence. Gaurav advocates for customers by representing their issues to Product Management and Software Engineering and develops innovative ways to resolve issues. Before joining Google, Gaurav worked at LinkedIn as a Senior Site Reliability Engineer in the Data Services team. He was responsible for managing LinkedIn's multi-petabyte Hive warehouse and building and configuring data ingestion pipelines for internal data sources and external data vendors like GoogleAds and Salesforce systems using an universal data ingestion framework called Gobblin. He also managed end-to-end data pipelines for dashboarding and monitored Hadoop Kafka workflows, Pig & DWH processing, and automated processes within the Hadoop ecosystem. Gaurav has a Bachelor of Technology in BTech from Shanmugha Arts, Science, Technology, and Research Academy. He has 14.95 years of relevant experience in SRE, HDFS, Hadoop, Kafka, MySQL, product management, ML, infra, NoSQL, Salesforce, and Apache Hive.