1. Global health exchange (GHX) USA                                                     June 2019 – Till date

Description:     Global health exchange is a Healthcare Supply Chain Management and deployed in hospitals across US and Europe to manage the hospitals procurement and suppliers. This is highly secure platform and deployed on AWS using AWS EC2, SQS, Lambda, S3, RDS, Mysql, Cognito etc.

Contribution:

• Understood the architecture, design and code and start contributing into the architecture and development in an Agile manner.

Environment: Java1.8/JEE, Reactive Java, Flux, Spring, Angular, Spring Cloud Configuration server, microservices, docker, docker swarm, docker hub, Kubernetes, Bamboo, CI/CD, Junit 4

Responsibility: Chief architect

Description:     Architect, design and develop a BIG Data analytics platform and BI application to ingress more than 50 TB of data volume on daily basis from various types of sources and methods (Like: RSynch process, CAMEL, SFTP, RDBMS, AWS, Google Cloud, Data streaming etc.), store it into HDFS system and do the data mining on Peta Bytes of data using various Spark jobs written in java and interacting with various types of data sources like: HDFS, Mongo DB, Oracle and MYSQL. Optimizing the Spark job's algorithms after the analysis of Spark Jobs execution strategy. Experience in infrastructure capacity and deployment strategy of more than 1000 nodes Hortonworks HADOOP cluster with other BIGDATA technologies. These Peta bytes of data analysis is getting used to optimize the telecom networks and its various parameters. This BI platform is getting used for GIS visualization, Atoll coverage layer & prediction, Overshooting cells analysis, Configuration management, Small cell tilt analysis, Performance management analysis, Tower Sites analysis, Coverage hole mitigation, Customer care, SNMP trap messages analysis, Functional parameters analysis.

Contribution:

• Technology governance
• Build platform architecture & design, technology stacks from scratch
• Design and code the various core data science algorithms
• Coding, configuration and deployment in POC stage
• CI/CD pipeline setup
• Work with CTO, and Board of Directors to showcase the architecture & POC developed
• Resolving business & technical dependency with different teams like: office of CTO & business heads, architects
• Vendor management for costing, efforts analysis, explaining architecture & design, development, delivery, deployment and maintenance.

Environment: Java1.8/JEE, Reactive Java, Flux, Spring, Spring Cloud Configuration server, BIG DATA technologies (MapR Hadoop 5.0, Apache Hadoop 2.0, Hortonworks Hadoop 2.0, Ambari 2.6, Hive 2.0, Spark 2.0/2.0.4, Tez engine, MapReduce 2.0, Flume 1.8, Oozie 4.3.0, Apache Yarn, Spark job optimization, HBASE, Data Lake), Google ISTIO, Kubernetes, Docker, Apache Kafka, Mongo DB 4.0, AWS, Jio Cloud, Google Cloud

Responsibility: Server Architect

1. mHOOD messaging Platform                                                        March 2014 – April 2015

Description:     Architect, design and develop a messaging platform to send millions of promotional messages Based on different configurations Like gender, Jio circle, income group etc. These messages are also being tracked whether read or unread, deleted etc.

Contribution:

• Technology governance
• Build platform architecture & design, technology stacks from scratch
• Coding, configuration and deployment in POC stage
• CI/CD pipeline setup
• Vendor management for costing, efforts analysis, explaining architecture & design, development, delivery, deployment and maintenance.

Environment: Java1.8/JEE, Reactive Java, Flux, Spring, Spring Cloud Configuration server, Apache Kafka, Mongo DB 3.6, AWS, Google messaging platform.

Responsibility: Server Architect

1. Ehcache (A world leader in caching solution)                                                    April 2011 – Feb 2014

Client: Party Gaming, Archway, VISA

Description: Terracotta Ehcache is a world leader in terms of providing the highly available, highly performance and highly scalable “In Memory Database Solutions” to our clients. This product has more than 500K customers worldwide including its OSS customer base. It is the only caching solution in the world to facilitate to store Terra Bytes of data in the local memory as a Big Memory concept.

Contribution:

• Customer interaction to understand the business use case to integrate Ehcache with the application. PoC and hardware recommendations for the customer's Player's Achievements use case
• Overall managed the customer's proposals and discussion with client to provide the end to end cost effective solution
• Managed the stakeholders effectively to deliver the solution on time
• Worked with Product team in terms of new features enhancements architecture & design in the product to retain our customers successfully and to ahead of our competitors 
• Implementation of Ehcache usages over RESTful web-service
• Continuous client interaction to build up the customer relationship to grow the existing account to generate more revenue

Key Achievements/Value Add:

• Successfully won the deal of 400K USD to integrate Ehcache 3.6 with Party Gaming's “Players Achievements” new use case

Environment: Java1.7/JEE, Web Services, Java Threads, Eclipse, SVN, Apache Tomcat, Terracotta Ehcache 3.5 & 3.6, JSON, RESTful web services, Big Memory, HDFS, Hortonworks HADOOP, MongoDB, AWS DynamoDB, Redshift

Responsibility: Solution Architect