About

Shahbaz Hussain is a Lead Member of Technical Staff at Salesforce with over a decade of experience in Performance Strategy definition, Performance Testing, Performance Engineering, and Capacity Planning of Enterprise and Cloud software products. He is an expert in Performance Automation framework development as part of improving operational efficiency of performance testing. He has worked with established as well as start-up products, so he has the know-how of what it takes for a successful product's performance. Shahbaz has a Principal Performance Engineer/Big Data/Real Time/Streaming Performance Architecture background. He has worked with Cloudera as a Staff Software Engineer-Performance, enhancing, maintaining, and bug fixing an APM product built for Spark (Spark on Yarn and Spark on Kubernetes) and for CDH and Hortonworks distribution of Hadoop. He has supported on-prem and cloud distribution and has been involved in performance characterization of Spark across cloud storage such as S3, WASB, GCS, and across different clusters such as EMR, DataProc, and CDH. He has prepared data using TPC-DS benchmarking tool with various formats such as Orc, Parquet to the factor of 1TB to 10TB and beyond and analyzed all TPC-DS, TPC-H query performance for optimization and worked with engineering to get the best performance with sub-second latency. At Informatica, Shahbaz worked as a Principal Performance Engineer and was responsible for creating Performance testing Strategy for ever-evolving products, reviewing it with architects, product management, and development teams. He designed and implemented performance automation framework for regression tests on every build deemed for performance using a combination of Java, Shell Scripts, Sigar API, and Load Runner Scripts. He executed Performance tests (Scalability, longevity, stress tests) using automation framework, gathered results, analyzed test results, identified potential performance issues, profiling (using YourKit Profiler) use cases, and worked with development teams to get optimization for CPU, Memory intensive Operations, and re-testing to validate optimizations. He was involved in customer performance issues troubleshooting and visited customer sites for resolving performance issues, by doing so interacted with Professional Services, Global Customer support, and product development teams. Shahbaz has a Bachelor of Engineering degree in Computer Science & Engineering from Kuvempu Vishwavidyanilaya. He is proficient in software engineering, Salesforce, test, Spark, SQL, Big Data, product management, Kubernetes, Hadoop, Java, and has relevant