About

Anand N is a highly skilled technocrat with over 8 years of experience in software development, specializing in web application and big data application design. As a Senior Engineer at Target India, he has been involved in developing object-oriented data pipelines utilizing Scala and Spark, and has integrated libraries such as Artifactory (JFrog) and Dev Pipeline - Drone to streamline the development process. Anand has also developed a test data generator library that allows for quicker and faster development, utilizing generic structures that can be adopted for various datasets. Anand's expertise extends to demand forecasting engine measurement and operations, where he has been instrumental in scaling the metric evaluation, insights, and exception reporting for 200 million item locations. He has implemented CI/CD processes to streamline the deployment cycle, and has integrated week-to-day disaggregation tweaks to improve the performance of the model. Anand's proficiency in programming languages such as Python, Scala, and Shell, and his knowledge of various CI/CD tools such as Git, Jira, and Confluence, make him a valuable asset to any team. Anand's past experience includes working as a Software Engineer at Accenture, where he worked on web-based application development utilizing Struts, Spring, Hibernate, JSP, and HTML. He mentored peer developers in an SME capacity and worked on healthcare underwriting projects. Anand holds a Master's degree in Information Technology from the International Institute of Information Technology in Bangalore and a Bachelor's degree in Computer Science and Engineering from Amrita School of Engineering. His technical skills include Spark, Hadoop, Java, Spring, Docker, SQL, Kafka, MapReduce, Flask, Scala, Javascript, Cassandra, Postgres, Spring Boot, GCP, Apache Hive, Backend, Kotlin, Integration, Data Engineering, and Mobile. Anand's passion for designing big data applications and his expertise in algorithms and data structures, design patterns, big data applications and architecture, CI/CD, and agile practices make him an ideal candidate for any organization looking to design and develop complex big data applications.