About

Mayank Garg is a results-driven professional with a passion for software engineering and a belief in TDD, Clean Code, Refactoring, and Unit Testing as the primary pillars to building any software successfully. He is currently pursuing his MS in Software Engineering at San Jose State University and has 4 years of professional work experience in software development. Mayank has experience in designing scalable and reliable software applications with solid understanding, development, and debugging skills in object-oriented and functional programming paradigm and working in a real-life environment and product development. Mayank has worked at top technology companies such as HPE, Cisco, and SAP, where he has developed a wide range of skills and experience. At HPE, he worked on the Ezmeral Unified Analytics platform with Spark on Kubernetes and developed a spark application with delta lake support to help users exploit its rich features. He also developed a helm chart to deploy spark services operator on Kubernetes cluster, which helped reduce deployment time, manual effort, and code duplication, and increased overall developer productivity. Additionally, he created a utility using python and shell scripts to fetch all spark components’ image names and tags and download these images from the GCR repository into a single tarball for further use. At Cisco, Mayank worked on the Webex Cloud Contact Center, where he developed PCI (Payment Card Industry) compliant APIs in Scala for chat content and attachments. He optimized time and effort needed for the maintenance of integration tests by 40% by designing and developing consumer-driven contract tests using the PACT tool. He also created load tests using Gatling and analyzed using Grafana to discover bottlenecks of cloud services. Furthermore, he reduced response time by 20% by optimizing code and resolving gating issues to make the load pass with needed scale numbers. Mayank has also worked at SAP, where he improved CPU utilization by 15% and enhanced scalability and modularity by translating monolithic application into a suite of microservices. He developed cross-platform APIs and business logic for core banking modules and exposed APIs using REST (OData) protocol boosting customer adoption. Additionally, he improved performance by 90% by migrating code from existing stateful JSP based implementation to stateless OData architecture. Mayank is proficient in a wide range of technologies including Software Engineer, Spark, Kubernetes, test, Python, Docker, Integration, Scala, Kafka, Spring, Microservices, Web, and Java. He is a multitasker who likes to play with new technologies, build