Customer-facing analytics platform (Ignite Direct) delivery leader responsible to build, deliver and support external customers on analytical sandbox solutions hosted by Equifax. Created a new product offering Globally with a startup mindset to prove the value of an analytical sandbox where customers bring in their data and link it with Equifax’s differentiated data assets (360-degree view of consumers and Businesses) to build better actionable insights. Lead product development from market understanding and ideation through GTM (go-to-market) strategy execution, competitive analysis, pricing strategy and customer success management. Managed professional services team with data scientists and data engineers solving customer problems.

CitiBank India, Deutsche Bank India, Indian Railways

Big Data platform leader responsible for building “Cambrian”, the next generation Data & Analytics platform, that integrated desperate production platform data across Equifax into one single Big Data Lake with around 5 Peta Bytes of data for data analytics, data visualization, data evaluation, data stewardship, data governance and data acquisition. Brought down the data extraction process from 4 weeks to a few minutes from production platforms. Established data governance best practices like data validation and certification, data quality monitoring, project based access control, data stewardship framework, security and privacy controls.

Commercial Data platform transformation and data management leader supporting the ~$100 MM annual revenue platform; responsible to drive the growth and adoption of Equifax Commercial data in US and Canada through improved hit rate and data quality. Worked on several metrics driven data quality and keying & linking initiatives for continuous improvement of delivered business credit reports and marketing datasets. Built a “List of Similars” product that increased inquiry hit rates, file quality, customer confidence and underlying commercial revenue. Built and managed the core Commercial data compilation process that still feeds the Commercial Database today. Managed onshore and offshore Data Quality monitoring teams in the US and Costa Rica.

Commercial Data leader responsible to transform business credit data from legacy to newly architected Corporate Hierarchy and Linkage paradigm to scale with the customer demand. Designed and built data quality and data management best practices to prevent unrelated business entity data from over combining. Prototyped and built SIC and NAICS model to drive Firmographics coverage and feed into the overall business credit scores.

DI platform architect responsible to build backend integration platform for TELCO clients like A&T, VZ and Sprint. Built nightly ETL process to load client accounts receivable files coming from desperate billing systems across different US regions, key & link them and load them to a database for future POS inquiry retrieval. Trained and managed offshore teams to run the daily operations and new code development.

CitiBank Dubai, Citibank Jakarta, IRS Singapore

Data Engineer responsible to design and develop Equifax’s homegrown ETL framework to ingest 40,000+ data furnishers data into Equifax data platforms like Consumer Credit, Commercial Credit, NCTUE etc. The ETL framework is highly scalable and automated and processes 3 Billion Consumer trades and several billion transactions for other exchanges every month. The process is 20 yrs old and is still used 100% today.

Cross functional leader between Product, IT and Business responsible to lead the Global Data & Analytics platform’s (Ignite Internal) cloud transformation from Hadoop on-prem to GCP (Google Cloud Platform). The platform drives ~$600+ Million in annual revenue globally with over 800 users worldwide that are dependent on the platform for innovation, customer analytics, stewardship, AI & ML modeling, Visualization app and data acquisitions & partnerships. Key responsibilities included platform requirement gathering through use cases, product roadmap, prioritization of tools & capabilities, migration of ~10 PB data, data lake management, data governance, data quality monitoring, D&A university training, user adoption, cloud cost monitoring, new tools evaluation, vendor management, budgeting and business case input. Maintained and supported ongoing business needs on the legacy Hadoop platform while building cloud capabilities.