Aayush Shah Email and Phone Number

• Major new responsibilities include to lead the Backend Team of our Healthcare Innovation Project and also to be the Point Of Contact (POC) to all the clients for Maintenance too.

• In-depth experience working with JAVA and Kotlin which includes latest trending Advanced JAVA and Kotlin features.• Implemented functional programming, SOLID principles, Unit Testing, SpringBoot features to develop Micro-Services and create APIs so that each service can be individually operated without having any dependency on each other and function independently.• Handling API for bulk data transfer and process, working on various databases like TimescaleDB to store time series data and enable easy Data Processing to increase query performance by around 70-80%.• Integrated database systems for each micro-service, such as MySQL and PostgreSQL using JDBC and Hibernate ORM, ensuring data persistence and an improved ability of each microservice to connect to Multiple Databases with either same or different drivers as per the requirement.• Extensive knowledge and hands on experience in implementing FHIR concepts to our project in such a way that it becomes easy for mapping raw user data in proper FHIR Objects to make it FHIR compliant as per HL7 norms.• Extensive experience in integrating external APIs, such as Drupal for content management including all types complex query execution in it, Open AI for integrating AI Assistant in the project enabling ease to end user, integrated Keycloak and PingId to manage access management of users, and many more.• Developed my skills and gained experience in Kafka implementation to increase efficiency of data pipeline by at least 30-40% including subscribing and publishing data by Kafka Producer and Consumer with the help of Protobuf logic to store the continuous stream of raw data in desired format.• Gained substantial knowledge and implemented MQTT protocols to fetch data from hardware devices without being dependent on their server.• Gained knowledge and experience in integration of AWS and Azure Cloud to store various files in its storage buckets and enable deployment and code pipeline using Shell Scripting and Linux.