Building up Next Generation, multi-tenant, industry compliant cloud based scalable Data & Analytics platform on AWS Cloud, Azure Cloud and Palantir. Leveraged AWS native tool as well as 3rd party tools to build the platform. Enable AI/ML analytics on curated data leveraging AWS Sagemaker, R-Studio, Jupyter Notebook and DataIKU. Leveraged Elastic Container with Fargate and Kubernetes services for scalable and performant platform. Essentially building end-to-end cloud based Lakehouse platform for data organization, data sharing and analytics. The platform won - The Gartner 2021 Eye on Innovation Awards in Healthcare and Life Scienceshttps://www.linkedin.com/feed/update/urn:li:activity:6867823189741891584/

Leading Engagement and working as Big Data and Cloud(AWS & Azure) Solutions Architect, Snowflake implementation, and worked on Data Modernization and Digital Transformation projects in HealthCare and Life Science clients. Client facing role, present on-premises and cloud solutions to the client and discuss on solutions. Use Agile methodology to do the development and implement Dev-Ops process for development work.

Architecting and Building Hadoop based Data Reservoir for Asset Management, implementing solutions in Spark and Scala and building Multi-tenancy Data lake, Active/Active Prod/DR cluster. Also providing architecture and solutions to AM clients and onBoarding them to Greenplum Database and Big Data Hadoop.

Architected, designed and developed Big Data Real time Analytics project using tools like Kafka and Storm on Hortonworks HDP2.2 Eco system, for Prime Brokerage - Investment Banking business. Build multi-tenancy Datalake designed Lambda architecture to process streaming data. Also used other tools like Sqoop, Falcon, HBase, Hive, Pig, Oozie, Phoenix, etc.

• Working on Big Data Analytics project for Merrill Lynch Global Wealth Management (GWIM) business. • Architect, design and Implementing Big Data Hadoop framework on RedHat Linux cluster - installing HDFS and MapReduce, Cloudera Manager, Flume, Sqoop, Pig, Hive, Impala, Avro and No SQL Database HBase. • Building Hadoop Analytics engine for near real time analytics.• Implemented Security and Controls in Big Data Hadoop space.

Financial Services & Management Responsibility• Over 17 years of experience in the Financial Services industry, developing IT portfolio strategy, architecture, transformation, and implementing IT solutions.• Domain knowledge of Derivatives Trading business, applications, and implementing vendor solutions. Thorough understanding of Forward, Options and Swaps, hedging and underlying asset.• As SVP of Operations Technology and Risk management, I am managing global operations on Security and Risk management and am responsible for minimizing the operations risk impact and improve effective management of technology.Technical Responsibility• Managed Global operations of Database Management and successfully implemented projects to global clients. Implemented IT strategy and Roadmap for Database Management.• Strong Database Administrator and Manager with good knowledge of Data Analysis, Data mining, Data Modeling, Data control and Data Architecture. Created Data Modeling and logical and physical design.• Worked on Cloudera Hadoop CDH4 and has working knowledge on Big Data – Hadoop framework stack like HDFS, MapReduce, Flume, Sqoop, Pig and Hive and No SQL Database like MongoDB.IT Security and Risk Management Responsibilities• Hands on experience on Design and Development of Information Security initiatives like Functional Id Management, Segregation of Duty, Toxic Combinations, Authentication and Authorization, etc and oversee the Project implementation.• Worked in Identity and Access Management (IAM) projects and implemented then to global business.• Worked on Sun Identity Manager (SunIDM) to automate Database provisioning/De-provisioning.

Worked as Database Developer working on Government projects and also did Sybase database Administration work.- I was working on mission critical project for Ministry of Holms Affair, Government of Singapore.