About

Heena Madan is an experienced Software Engineer with a strong background in Java and Adobe Experience Manager (AEM). As a certified AEM Architect and Sites Developer, she has a demonstrated history of working in the computer software industry. She is skilled in architectural design patterns, Microservices, AWS cloud, Spark, Kafka, MongoDB, NodeJS, Spring, SpringBoot, Spring MVC, SQL, JSP, Servlets, Html, CI/CD, jenkins, Docker, and more. Currently working as an Associate Technical Architect at Nagarro, Heena is primarily focused on AEMaaCS (AEM as Cloud Service), Architectural Designs, Java-11, OSGI, sling, Apache SolrCloud, GA-GTM Analytics, SpringBoot, Rest services, Microservices, Ci/CD jenkins, Sonar, Git, Kubernetes, Azure API gateway-APIM, PIM, Magento commerce (CIF framework), Kafka, CRM Integration, Apache Spark, Kafka, AWS cloud, MongoDB, RFPs & Estimations. With over 9 years of relevant experience, Heena has also worked as a Technology Lead Staff Engineer at Nagarro, where she worked on AEMaaCS, Azure, Apache SolrCloud, GA-GTM Analytics, SpringBoot, Rest services, Microservices, Ci/CD jenkins, Sonar, Git, Kubernetes, Azure API gateway, PIM, Magento commerce (CIF framework), Kafka, CRM, React js (basic), and Big data projects on Apache Spark, Kafka, Java, AWS cloud, MongoDB, RFPs & estimations. She has also worked as a Senior Associate at Publicis Sapient, where she worked on an Australian Insurance project on Java8, Microservices, Spring web flow, React Js, html, css, AWS (cloudformation, EC2, IAM, etc.), Jenkins. Heena holds a Master of Technology (MTech) in Computer Engineering from Maharshi Dayanand University and a Bachelor of Technology (BTech) in Computer Software Engineering from B. S. Anangpuria Educational Institutes. She also has a High School Diploma from Gita Bal Niketan Sr. Sec School and completed X from Sr. Shree Ram Model School. Heena's tech stack includes Senior Software Engineer, Java, AWS, Software Engineer, Kafka, Microservices, MongoDB, Spark, Spring, CI/CD, Jenkins, Spring Boot, Azure, SQL, Big Data,