RAM Vuruvakili

Treasury Data Source streamlines the data from various upstreams and leverages Nifi and Spark to further process the data according to the requirements specified by multiple regulatory bodies across the USA and UK.

• Delivered user stories focused on regulatory business reports essential to the LTP through collaboration with Product Owners, Data Architects, and Business Analysts.
• Boosted developer productivity by developing utility for automating Spark job or the pipeline executions to ease the development and testing efforts.
• Developed an utility app that can help the developers and business owners to validate the data that can further ease approval process.
• Ensured seamless continuity of operations by managing data quality promptly by collaborating with Run The Bank team.
• Demonstrated proficiency in handling diverse file formats like Parquet, Avro, ctrl, avsc, and hql to enhance data integration.
• Executed optimizations to boost the performance and efficiency of Spark applications.
• Optimized TDS codebase leveraging DevOps tools like GIT, BitBucket, TeamCity, and SonarQube.

Experian Ascend provides its clients, a businesslike platform to run their campaigns on US population, that allows them effectively provide Credit Line Increase, Credit Line Decrease & Balance Transfer features to their customer.

• Got good experience in AWS Services and worked on AWS Lambda, S3, RDS, EMR, Cloudwatch, SNS, SES & Step Functions
• Mostly worked on the data pipeline automation using AWS using Lambda, Step Functions
• Efficiently storing the data in S3 with minimal cost using S3 Lifecycles
• Worked on sampling, validating the data using Spark/Scala
• Writing Scala Test classes for Unit Testing and following TDD development approach
• Worked on writing the AWS Cloud formation templates to manage the AWS resources and their dependencies
• Providing the users an UI to schedule/trigger the production jobs using AWS Service Catalog and validating their input
• Worked on Cloudwatch rules updating considering Day Light Saving and enabling alarms on AWS Resources
• Allowing multiple runs on single day so that the client can test their strategies before implementing them in production
• Validating the dependent jobs for the production run and not allowing the run in case of failures/issues
• Worked on archiving the input & business artifacts to S3 using AWS Lambda
• Worked as release manager, which involves deploying code changes to production
• Working with the team on issues and fixing them

GE Healthcare Machine Data Platform mainly focuses on processing the XML, JSON & Text data which comes from machines in the form of logs. The machines can be any of the wide varieties of XRAY, CT, MR, Ultrasound and so on.

This data is processed based on the user requirements and finally loaded into Hive, Postgres & Greenplum databases. This loaded data is used by the data analytics team for further processing or analytics, which helps in better understanding of their machines and point of business expansion.

• Got good experience in Big Data Development and worked on Hadoop, Hive, Spark/Java, Shell Scripting, Sqoop, Postgres & Greenplum development in the last 3 years
• Analyzing the project requirements and developing the code as per requirements
• Worked majorly on parsing the XML, JSON and Text data
• Developing JAVA UDFs to process this data using Spark/Hive Processing
• Developing Hive Scripts to load the data in Hive and HDFS
• Developing Green Plum YAML files to load data into Green Plum
• Developing Shell Scripts for process & load automation
• Worked on exporting/importing data from/to HDFS/HIVE/RDBMS using sqoop
• Job scheduling using Oozie/Shell Scripting
• Got good knowledge and experience on Spark execution & Development
• Working on Agile and Waterfall models
• Did a POC on Spark File Streaming
• Involved in Hortonworks to Amazon AWS cluster migration
• Developing the unit test cases for every development activity and documentation
• Continuously working with the team on Production issues and fixing them
• Deployed code on Hadoop Edge Nodes and made test runs

GE Capital is one of the biggest leasing businesses of the Europe. Capital uses Hyperion application for Budgeting, forecasting and closing reporting purposes.

• Worked as Hyperion Administrator, where I mostly worked on Security (Hyperion Shared Services) and Hierarchy Maintenance
• Involved in designing security filters and assigning them to end-users
• Involved in optimization of outline, Data load and calc scripts
• Involved in analyzing the financial data and tying it with oracle GL