Raj S. Email and Phone Number

• Own and drive the overall strategy and roadmap for Big Data Implementation working closely with customer-facing account teams, internal practice leaders and external partners to address Insurance Digital Transformation initiative and have expertise in Big Data, BI/Analytics, or data integration, be detail-oriented, think strategically, and possess a strong work ethic.• Manage end-to-end data architecture, from designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.• Ensured Data Quality, Data Integrity. Worked with user groups to resolve questions, assess user needs, and recommend changes. Worked with the EDAD team to implement Hive DDLs and model of suggestion of ptab.• Developed and maintained data models for various business units within the organization.• Implemented ETL/ELT process using Pyspark, Cloud dataflow and Cloud Dataproc.• Migrate HDP2 to HDP3, Python2 to Python 3 and create migration plan, design, development and implementation.• Migrate Hdp 3.1 to cloudera 7.1 – create migration plan, design, development and implementation• Migrate the on-premise data pipeline to AWS/Google cloud and implementation using pyspark.

• Guiding the full lifecycle of a Hadoop solution including requirements analysis, data governance, capacity requirements, technical architecture design (including hardware, OS, network topology), application design, code review, testing, deployment and executes a process of moving the data from Mainframe to Hadoop environment.• Build new tenant platforms on project requests (ingesting data from the data lake, data modelling, pig script, hive HQL, HBase and MongoDB). • Logical and physical modelling, schema design for hive tables.• Working with the data management team for data integration, data quality, data profiling to integrate, transform and improve valid data.• Data processing using Spark, Pig, Hive and shell scripts.• Creating job flows and Schedule the jobs using Talend.• Creating a dashboard on Tableau and Elastic search with Kibana using spark SQL.• Continuous Integration / Continuous Delivery using Jenkin and GitLab

• Perform day-to-day tasks that ensure the technology platform remains stable and available to users. Closely work with cross-functional team to enhance systems, trouble-shoot data issues, etc• The full life cycle of ETL development in Data Warehouse and Data Integration projects using Informatica or any other similar ETL tool and Big Data• Match/Merge/Separate Enhancements• Customer Information Confidence Level Framework• Data research/analysis with a focus on data quality and consistency is required.• Cluster management and analytic in Cloudera.• Oversee all levels of test with the other DC's Test and Release Efforts aligned to • Proof of Concept (POC) and Proof of Technology (POT) execution and evaluation.• Program Level Testing for DC1 Single Source efforts• Coordinate Defect Management at the Single Source Program Level• Coordinate testing with Single Source Stakeholders and Strategic Connections• Coordinate implementation with Single Source Stakeholders and Strategic

Development and testing in different Mainframe application