Sai Krishna Kattari

Software Engineer

Tata Elxsi•  December 2017 - November 2019

PRTS (Problem Resolution Tracking System) is a global issue tracking system to manage issues related to the development and production of Ford Motors(client) components, sub-systems, and vehicles. The System tracks an issue from its origin to closure. The System will be used by Ford users (inside the Ford firewall), and will be accessed by external suppliers, allied partners, and joint ventures (outside the Ford firewall) via a Ford portal such as Supply Power portal or joint Venture portal. Responsibilities • Involved in Analysis, Design, Architect, Development and implementation Web Applications • Working closely with Product Owners, Business Analyst, Enterprise Architects for planning and estimations • Developed High level and Low-level designs with Business Rules. • Successfully sized development effort for all components. • Review external technologies and products for their applicability to specific project requirements • Designing Services, data mapping, domain model for REST, SOAP • Server-side programming using Java, JEE, Spring, Hibernate, REST, SOAP • Developed Micro Services using GraphQL/Restful API, Spring Boot, Spring Cloud confing and Netflix oss(eureka, zuul, hystrix) • Used Angular-CLI for initializing, project setup, creating components, Services, pipes, Directives • Developed new producers and consumers for Kafka MQ • Created API Documentation using swagger specifications • Worked on Cloud Foundry, OAuth2 Authorization and Spring • Used Bitbucket repository for software configuration management and version control Environment • Java 1.8, Spring 5, Spring Boot Restful Web Services using Microservices architecture, Spring Cloud Config, Netflix OSS components(Eureka, Zuul , Hystrix), Pivotal Cloud Foundry, Kafka MQ, Spring Data JPA, Tomcat, Oracle 12c, SQL , HTML5, SCSS, Angular-CLI, TypeScript, RXJS (Reactive Extensions for JavaScript), Bootstrap, ng2-bootstrap, Jenkins, Splunk, Git, AppDynamics , Maven.

Intern

HP•  May 2017 - July 2017

Analyzed various datasets using Hadoop platform by programming in java creating Map-Reduce tasks and learned about various Big data technologies like Hive, Pig, Hbase. Responsibilities • Performed Review purification in python • Developed a TF-IDF implementation using Java Map-Reduce and Relative classification in PIG UDF • Responsible for Combining user defined and estimated ratings in HIVE using various queries • Created data visualization dashboards using Tableau. Environment Hadoop, Hive, Pig, Python, Java 8, Linux Server, Git, Tableau.