Nilesh Sule Email and Phone Number

- Leading backend team of insights generation application (Next Best Action) for financial advisor, involving hadoop and spark for the data aggregation and Solr (full text search engine) as main data store for application data. - Revamped "Research Insight" application to process company rating files from various rating agencies like Morningstar, Morgan Stanley research team and applying business rules to generate buy or sell auto-recommendations. This application involved data files… Show more - Leading backend team of insights generation application (Next Best Action) for financial advisor, involving hadoop and spark for the data aggregation and Solr (full text search engine) as main data store for application data. - Revamped "Research Insight" application to process company rating files from various rating agencies like Morningstar, Morgan Stanley research team and applying business rules to generate buy or sell auto-recommendations. This application involved data files ingestion into HDFS, data processing using impala, hive, Spark and final data ingestion/indexing into Solr. - As an application tech owner, my time goes into designing and implementing platform features and upgrades, capacity management of FTE and vendor partners etc. Show less

- Implemented an analytics platform that affords FAs (Financial Advisors) to perform various data analytics and gain insight on voluminous firmwide information on the batch as well as real-time data. Batch implementation is done using Hadoop/Spark Ecosystem and Solr is used to provide response in millisecond to UI. This implementation has transformed from a Teradata powered application, helping reduce the cost of the application to the firm. - Developed and maintaining NBA subscription… Show more - Implemented an analytics platform that affords FAs (Financial Advisors) to perform various data analytics and gain insight on voluminous firmwide information on the batch as well as real-time data. Batch implementation is done using Hadoop/Spark Ecosystem and Solr is used to provide response in millisecond to UI. This implementation has transformed from a Teradata powered application, helping reduce the cost of the application to the firm. - Developed and maintaining NBA subscription feature wherein FA could subscribe clients to send auto-emails. Here, realtime data transfer is done using event driven programming model and orchestrations using Kafka, micro-services, python, MongoDB. - My role also requires me to create and maintain user stories, backlog grooming, stake holder management using jira and scrum techniques. Show less

- Developed and maintained "Unified Billing System" application. This application is responsible for calculating client bills for MS Advisory product based on their total asset under management.- Implemented common prorated bill computation module using DB2, TWS scheduler and CICS screens which is used during various client lifecycle journey like account opening/inception, quarterly, termination for bill computation. - Implemented invoice creation and its settlement system; Screens… Show more - Developed and maintained "Unified Billing System" application. This application is responsible for calculating client bills for MS Advisory product based on their total asset under management.- Implemented common prorated bill computation module using DB2, TWS scheduler and CICS screens which is used during various client lifecycle journey like account opening/inception, quarterly, termination for bill computation. - Implemented invoice creation and its settlement system; Screens were built to track bill payment amount against these invoices. Show less

Reserve Bank Of India(RBI)I have worked for RBI as Application Developer on trading and settlement platform (LAF repo, reverse repo, OMO) of RBI. Here, I have worked on Event Driven Model using IBM MQ for realtime trade messages between banks and RBI. I have also worked on file based fund settlement with RTGS at the end of LAF trading batch.Chrysler Automobiles- Here, I have worked on enhancing an application which is responsible for recalling and testing vehicles. All the… Show more Reserve Bank Of India(RBI)I have worked for RBI as Application Developer on trading and settlement platform (LAF repo, reverse repo, OMO) of RBI. Here, I have worked on Event Driven Model using IBM MQ for realtime trade messages between banks and RBI. I have also worked on file based fund settlement with RTGS at the end of LAF trading batch.Chrysler Automobiles- Here, I have worked on enhancing an application which is responsible for recalling and testing vehicles. All the vehicle part data and dealer data was managed in IBM DB2 database and recalling feature was implemented using IBM MQ. Show less