Location Intelligence Service:◉ Understanding business specs to deliver layers according to existing design considerations◉ Business Logic layer development in Scala, AWS Aurora, S3◉ Supporting Bulk operations using Apache Spark running on AWS EMR
Data-Quality Service:◉ Decoding Microsoft SSIS packages, understanding performance bottlenecks and migrate logic to Apache spark based project performant in scaling.◉ Analysing the quality of exposure data related to the risk analysis of a location using some predefined formulas provided by the data science team and correcting/enhancing it through the model data of the organisation.
◉ Architect the high-level design and low-level (code level) design.◉ Extensive work in Spark SQL, query optimisations and performance optimisation of Spark on Cluster. ◉ Connecting the Spark app with S3, RDS and trial runs on Amazon EMR.
Data Visualisation:
◉ Developed GQL queries to enhance request/response time.
◉ Converted few rest APIs to GQL queries to make system much more performantAddress Parser:◉ Helped in Development and Integration of Address Parsing service. ◉ Implementation in Python using NLP and open-source projects. ◉ Service reduced in-house manual effort involving multiple iterations.Technologies: Scala, Apache Spark (Spark SQL), Amazon S3, Amazon RDS, SQL Server, Postgres, Maven, JIRA, Graph Query Language,
 Python, Pandas

Handling complex mix technology Location Intelligence Service.◉ Understanding business specs to deliver layers according to existing design considerations◉ Business Logic layer development in Scala, AWS Aurora, S3◉ Supporting Bulk operations using Apache Spark running on AWS EMR

◉RewardSystemDesigned complete rewarding system and developed backendusing NodeJs and frontend using PHP as server for API calls.◉SSODesigned complete flow of SSO for Paisabazaar using oAuthauthentication and implemented on few systems in Paisabazaar inNodeJs and PHP.◉MyAccountRevamped Paisabazaar MyAccount backend and developedmultiple other functionality in NodeJs for different applicationsusing Myaccount as backend/wrapper.◉InsurancePlatformCreated a NodeJs module for new partner on insurance platform.Executed the solution and timely co-ordinated with product team.Unit tested the application and helped QA in testing.Worked closely with product team to establish functional designs.

Project: WIG (July 2016 - Present) It is a platform-independent, scalable ESB Solution which contains common component that can later be used as reusable component for designing a client specific flow in multi-tenancy mode. Goal is to provide a simple interface that can be used simply like plug and play, scalable system that can be monitored and configured as needed. Entire project is built upon Camel ESB and uses external validation and transformation tools. -Participating in design discussions and sprint planning. -Implementing the solution.-Effectively coordinating between product teams.-Writing unit test cases.-Written monitoring tool using shell script for different purposes.-Technologies Used: J2EE, Camel ESB, MongoDB, PostgreSQL.