Resume

• Architected and led the transition from legacy SQL Server to a modern, event-based Data Mesh architecture for the Global Order Management (GOM) system. This strategic shift enabled seamless M&A scalability and established a foundation for enterprise-wide real-time analytics.
• Spearheaded operational efficiency by delivering a massive increase in quality of data assets by reducing data incidents by 76% and improving data processing speeds by 92% across global operations.
• Defined the strategic roadmap for real-time order analytics, spearheading the migration from Druid to StarRocks. This initiative achieved a consistent 3-minute latency for global reporting, empowering executive leadership with instantaneous decision-making capabilities.
• Served as the strategic lead for data initiatives across Digital Experience, Pricing & Promo Management, and Experimentation pillars. Partnered with business unit leaders to drive data-centric product improvements and high-impact business initiatives.
• Directed the implementation of GCP Dialogflow with GenAI features to replace legacy chatbot infrastructure. This project directly improved Net Promoter Scores (NPS) and Customer Effort Scores (CES), significantly enhancing the digital customer journey.
• Built and scaled a top-tier Data and BI engineering organization from the ground up to support the rapidly expanding global analytics requirements of the business.

• Led Marketing Data Lake migration to GCP, implementing MLOps via Dataiku and Snowflake data warehouse integration.
• Architected modern data stack using Fivetran, DBT, Docker, and Airflow with automated CI/CD via Jenkins.
• Developed Marketing ROI analytics framework including causal inference models for campaign performance measurement.

• Built comprehensive pricing data lake integrating multi-dimensional customer and product data across Salesforce ecosystem.
• Developed ML models for customer upgrade prediction and product recommendations, deployed via Einstein Analytics.
• Created churn prediction model analyzing customer usage patterns, login frequency, and APEX code metrics.

• Implemented Salesforce Wave for Finance, enabling real-time ACV analysis and KPI tracking across platforms.
• Engineered early warning system processing 3TB daily logs, driving $1.5B revenue impact.
• Architected petabyte-scale Hadoop cluster (100+ nodes) for Salesforce's application log processing.

• Implemented an end-to-end BI data strategy for a new business initiative called Destination Services, which generated ~3M dollars of annualized incremental revenue and ~62K new bookings on the platform.
• Awarded the top automated email marketing campaigns to upsell travelers with timely targeting and "hard to miss" deep travel discounts on air, car and hotel deals.

• Resolved Verizon's customer issues received on an average of ~250 issues per month, with the ordering & provisioning system by data scrubbing and performing custom analysis for issue resolution to achieve optimal customer satisfaction.

• Developed the Basel Reporting DWH framework for Finance audits and reporting via Cognos for a user base of 19,000 employees.
• Cut projected time for data analysis by one week by developing reusable ETL datasets in DB2 using DataStage jobs.

University of Texas at Dallas, Richardson, Texas

Specialization in Data Mining and AI NLP applications

University of Mumbai - VESIT, Mumbai, India