About

Nihar Suryawanshi is a Cloud Support Engineer I at Amazon Web Services, Inc. with a passion for building robust, scalable, and highly available web applications. He holds a Master's degree in Computer Science from the University of Texas at Arlington and a Bachelor's degree in Information Technology from the University of Pune. Nihar has a good understanding of RESTful APIs/web services, cloud, and big data technologies. He has internship experience as an API Engineer/SD Engineer with McKesson Corporation, where he developed Eclipse Plugin to embed into MuleSoft Anypoint Studio, made an admin portal for API project governance, and developed POCs for implementing and Dockerizing Custom API's and Mulesoft API's on GCP using the Google Kubernetes Engine. Nihar has two years of experience working with Automatic Data Processing (ADP), LLC as a Member Technical/Assoc. Functional Consultant, where he implemented and managed payroll, tax, and benefits processing engines in SAP for clients across North America region. He also worked on transitions and data migration between client's legacy payroll processing systems and ADP payroll processing systems. Nihar is proficient in Java, Python, SAP-ERP, PHP, JavaScript, SQL/NoSQL, Hadoop, Map Reduce, Spark, Hive, Eclipse, Agile, HTML/CSS, React, XML, and JSON, API, CI/CD, Microservices, AWS, GCP, Cloud Technologies. He is a quick learner and tends to give his best in whatever task and role he is assigned with. In his current role at Amazon, Nihar is responsible for developing Eclipse Plugin to embed into MuleSoft Anypoint Studio, made an admin portal for API project governance, and developed POCs for implementing and Dockerizing Custom API's and Mulesoft API's on GCP using the Google Kubernetes Engine. He has also worked on technologies like Java, Python, Flask, Webhooks, Docker, Kubernetes, Mulesoft, Google Cloud Platform, Postman, MySQL, and Bamboo. Nihar has a relevant experience of 3.68 years and has a strong technical background with expertise in AWS, Web, Big Data, Kubernetes, GCP, Bamboo, Python, Java, Docker, MySQL, SQL, Flask, Spark, CI/CD, Javascript, PHP, NoSQL, Hadoop, Microservices, Apache Hive, and test.