Professional Experience

Technology Program Manager

AWS Program Management and Implementation

October 2023 - Present

Dallas, Texas

  • • Led the diversity lending initiative to enhance Loandepot’s digital mortgage application

    • Implemented the first phase of the initiative by providing a language selection feature

    • The diversity lending initiative is predicted to provide a $46 Million revenue with an average of 5,760 loans per year

  • • Collaborated with cross-functional partners to identify and drive initiatives forward

    • Identified and wrote requirements for the Product vision

    • Researched market / competitive/internal areas to aid in product knowledge

    • Prioritized product requirements with the engineering and UX team

    • Defined feature and user story level detail for product development

    • Articulated the product lifecycle and agile software development processes at loanDepot

  • • Product Vision

    • Product Road Mapping

    • Product Requirements

    • User Research

    • Customer Journey Creation

    • Agile (Scrum/Kanban)

  • • Refined product requirements for phase 1 of Language feature implementation

    • Created customer journey for feature implementation

    • Articulated problem statement to develop first prototype of new feature

    • Presented feature demo to cross-functional partners

  • • Jira board

    • Miro

    • Atlassian Confluence

    • Microsoft Excel

Company brand logo for LoanDepot LLC

Summer Intern

Technology Product Analysis and Management

June 2022 - August 2022

Plano, Texas

Company brand logo for Infosys Ltd

Senior Data Engineer

Enterprise Data and Analytics (DNA)

July 2019 - June 2021

Pune, India

  • • Led the data analytics team for a Fortune 4 healthcare insurance client to manage a $70 billion business

    • Independently released 6 ETL projects with a 80% improvement in data ingestion and migration processes

    • Managed a team of 5 engineers to develop and maintain the enterprise data warehouse

  • • Designed and implemented ETL processes for a large-scale data warehouse using Hadoop and Big Data design

    • Collaborated with cross-functional teams, including data analysts, data scientists, and business stakeholders

    • Developed and maintained automated ETL workflows using tools such as Abinitio, Informatica, and SSIS; reduced the time required to load and transform data

    • Identified and resolved performance issues in ETL workflows; improved data processing time

    • Mentored and trained junior system engineers for ETL processes, database management, and domain knowledge

    • Documented ETL processes and made an accessible knowledge repository to improve team performance

  • • Data Warehousing

    • Database Architecture and Management

    • Data Modeling

    • Extract, Transform, Load (ETL)

    • Data Pipeline

    • Shell Scripting

    • Process Automation

    • Agile

    • Software Development Lifecycle (SDLC)

  • • Developed data pipelines improving data integration by 35%, resulting in improved ingestion rates for claims worth $1 Billion

    • Scaled data extraction processes for 5 million consumer records; automated data product build for 3 business domains

    • Articulated business requirements for ETL application design; implemented end-to-end data lifecycle for 8 projects

    • Modified data extraction processes using Shell scripting to automate data warehouse; improved productivity by 50%

    • Resolved production and QA issues through ETL application troubleshooting processes; handled 10+ million customer records

    • Led and mentored the team for process improvements and optimization of ETL workflows; attained efficiency improvement of 30 man hours per week

  • • Abinitio

    • Hadoop ( Hive, Pig )

    • Power BI

    • Datastage

    • Informatica

    • Unix Shell Scripting

    • GitHub

    • Jenkins

    • Microsoft Excel

Company brand logo for Infosys Ltd

Data Engineer

Enterprise Application Development and Maintenance (ADM)

December 2017 - June 2019

  • • Led the IT application development team for a Fortune 4 healthcare insurance client to manage a $70 billion business

    • Independently released 10 application enhancement projects to reduce the production error rate to 5 incidents per week

    • Collaborated with a team of 8 engineers to develop, support and maintain the mainframe application system

  • • Resolved technical issues and provided technical support for end-users in a timely and efficient manner, resulting in a high level of user satisfaction

    • Developed IT asset management procedures, resulting in improved tracking of IT assets and increased accountability

    • Conducted system analysis and troubleshooting procedures to meet business requirements for the mainframe application system

    • Communicated technical information effectively with team members, stakeholders, and offshore leaders to improve client satisfaction

    • Mentored and trained junior system engineers for Mainframe and IT processes, database management, and domain knowledge

    • Created and maintained technical documentation, including system and program specifications, user guides, and ticket management flow

  • • Data Warehousing

    • Software product lifecycle management

    • Troubleshooting and Debugging

    • Release Management

    • Time Management

    • Incident Management

    • Customer Support

    • Software Development Lifecycle (SDLC)

  • • Spearheaded the development and implementation of a highly scalable healthcare insurance claims database that increased claims processing efficiency by 25%; enabled the organization to handle and adjudicate 10 million claim records per day

    • Led the requirements gathering, definition, and communication efforts for three critical projects; resulted in a 100% success rate in delivering products that met or exceeded customer expectations, contributed to a 20% increase in customer satisfaction and a 15% increase in revenue for the organization

    • Implemented data process automation in multi-dimensional data management system resulting in a 50% reduction in back-end processing timelines; improved efficiency for the team to deliver products to market 20% faster

    • Resolved production and quality assurance issues through effective troubleshooting; led to a 25% increase in data accuracy and a 15% improvement in operational efficiency

    • Created a knowledge management repository to document projects related to the system design, implementation, and maintenance procedures; improved team effectiveness by 10 man hours/week

  • • Service Now

    • Jira

    • IBM Mainframe

    • DB2 Database

    • JCL

    • COBOL

    • IBM Datastage

    • Power BI

    • Microsoft Excel

Pune, India