About

Rajesh Gowda is a seasoned Senior Engineering Manager II at Walmart Global Tech with over 15 years of relevant experience in building scalable, reliable, and highly available enterprise solutions. He is an expert in partnering with various stakeholders to define and build technology solutions for business needs leveraging the Big Data ecosystem. Rajesh has a proven track record of leading high-performance data engineering teams in building data-intensive business-critical applications to drive operational and cost efficiency. Rajesh has expertise in designing and building large-scale Data Engineering solutions, including data processing, feature engineering, scheduling, and workflow orchestration. He also has a strong understanding of infrastructure, integration, virtualization, storage, and network technologies. His expertise in Big Data Engineering platforms/tools is in-depth, with hands-on experience in HDFS, MapReduce, Spark, and Yarn. Rajesh's experience also includes designing and developing enterprise applications with Service-Oriented Architecture, adapting industry-proven software development methodologies like Agile and Kanban, and building continuous integration and continuous delivery processes to support quicker and quality delivery of products. His expertise includes Hadoop, M/R, Spark, Cassandra, NoSQL, Big Data Analytics, Data Engineering, ETL, Java, Airflow, and Web Service. Rajesh's specialties include Scala, ServiceMix, OSGI, J2EE, EJB, JMS, JBoss, JSF, MongoDB, NoSQL, IBM WebSphere, Oracle, PL/SQL, Hibernate, OpenStack, SNMP, SDH, PDH, DWDM, OSS, and knowledge of the TMF concepts, including NGOSS and MTOSI. Currently, Rajesh is leading high-performance data engineering teams in building data-intensive business-critical initiatives for Walmart Replenishment System's to drive operational and cost efficiency. He is building a Data Science-driven demand forecasting platform using innovative architectural approaches by leveraging cloud-native capabilities on Azure and GCP. The cloud-native capability helped scale the forecasting platform to deploy to multiple international markets of WM, thus helping businesses use a better forecasting system that drove improved on-shelf availability and reduced wastage. In the past, Rajesh has worked at Walmart as a Staff Software Engineer, building a massive data engineering system using Apache Spark and Airflow for a Demand Forecasting System, an integral and critical part of Walmart's Supply Chain system. He has also worked at Cisco as an Engineer III in the Cloud and Virtualization Group, where he worked on building a next-gen Management