Feb 2022 – Aug 2025 · 3 yrs 6 mos

• Spearheaded the enablement of a federated data lake house with zero copy, enabling trusted, AI-ready insights at scale.
• Championed the rollout of Key Enterprise Metrics (KEMs) as the single source of truth across Finance, Product, GTM, and Customer Success.
• Partnered cross-functionally to embed standardized metrics into strategic planning, forecasting, and sales performance processes.
• Established data lifecycle management and governance frameworks to improve compliance, data quality, and reduce reporting duplication.
• Scaled and led a global team of 40+ data engineers, architects, and analytics product leaders; fostered a culture of innovation and operational excellence.
• Integrated modern tools like Snowflake, dbt, Trino, Salesforce Data Cloud, and GenAI to deliver scalable and intelligent data products.

Feb 2019 – Jan 2022 · 2 yrs 11 mos

• Led global data science and engineering teams delivering insights from over 100 PBs of event data to inform product strategy and customer adoption.
• Designed and deployed time series analytics tools for real-time monitoring, dashboarding, and decision automation.
• Successfully migrated first-party data and analytics platforms to AWS to scale performance and reliability.
• Delivered product analytics for 15+ Salesforce products, guiding roadmap prioritization and GTM strategy.
• Established foundations for data management—including cataloging, classification, and governance—to ensure trust and consistency.
• Enabled a self-service analytics culture by empowering teams with scalable tools, metrics, and infrastructure.

Oct 2017 – Jan 2019 · 1 yr 3 mos

• Lead a team of data engineers and leaders to enable experimentation, analytics and data products for Growth( Partners, payments, messaging and web analytics), Business operations (Finance, core dimensions, customer service and talent) and Infrastructure(Security, reliability, availability, efficiency and productivity) domains.

Jan 2017 – Sep 2017 · 8 mos

• Lead a team of engineers and analysts to build data driven solutions to optimize and secure Netflix's product and corporate infrastructure.

Jan 2015 – Dec 2016 · 1 yr 11 mos

• Lead a team of engineers and analysts to provide analytical solutions for Corporate and Product Security at Netflix. Solutions include:
• Build an ETL framework to consolidate data into AWS S3 for Security analytics
• Analyze customer usage to identify account take over patterns
• Partner with the Security team to enable a User Behavior Analytics platform
• Build a model to detect anomalous accesses to key corporate applications
• Engineer a product for leaders in the company to get awareness on security
• Technologies: Spark, Scala, Python, Hive, Presto, Tableau and JavaScript

Oct 2013 – Dec 2016 · 3 yrs 2 mos

• Lead a team of engineers who architect big data solutions, and analysts who provide analytical insights on Payments and Fraud verticals. Solutions include:
• Data pipeline in the cloud that efficiently processes Payments data continuously
• Reporting tools using Microstrategy and Tableau that provide enhanced access to data for analysis
• Model to detect anomalies in Payments data and make them actionable
• Model to detect Payments fraud and integrate with Payments product to take actions
• Model to predict most efficient day, date and time for recycling transactions
• Partner with experimentation teams on Payments A/B tests
• Insights on country and new payment method launches
• Technologies: Hadoop, Pig, Python, SQL, Hive, Presto, Microstrategy, Tableau and JavaScript

Dec 2011 – Sep 2013 · 1 yr 9 mos

• Responsible for Payments reporting subject area architecture and model in Enterprise Data warehouse
• Partnered with engineering team on what to track and how to log data for analytics
• Analyze Payment data to understand most effective and efficient payment methods
• Design and partner with with experimentation teams on Payments A/B tests
• Analyze Payment error messages from different processors and understand the "true meaning" of declines
• Technologies: Teradata, Abinitio, Hadoop, Pig, Python, SQL, Hive, Presto, Microstrategy and Tableau

Feb 2011 – Dec 2011 · 10 mos

• Lead a team of professionals to design and develop business intelligence applications in Marketing, Finance and Product domains for the enterprise
• Build business intelligence architecture standards for the enterprise
• Interface across all stakeholders (Business, Finance and IT)
• Initiate and drive the creation of data management activities related to data quality and master
• data management
• Define and implement data security practices related to databases and all business
• intelligence applications
• Define and implement development processes to manage the development and roll out of key
• business intelligence projects
• Perform regular reviews to ensure all policies and procedures related to data quality and
• development processes are followed

Feb 2010 – Feb 2011 · 1 yr

• Pioneer a Business Intelligence program for Streaming Video business operations
• Build dimensional models, Design and develop ETLs, and build OLAP cubes
• Build, lead and manage a Business Intelligence team for information management
• Drive data management and data quality practices
• Build visualizations to provide insights for finance and marketing needs
• Architect a revenue and royalty reporting system with data warehouse as a back end

Jul 2008 – Apr 2010 · 1 yr 9 mos

• Manage a team of DBAs, business analysts and developers to design, develop, implement and
• support off the shelf, and organically developed applications across the enterprise
• Responsible for designing, implementing and operating Marketing and Finance data solutions
• Responsible for system reliability and up time for critical business applications including
• customer service application, ERP, Share point, Wiki and all production databases
• Define, implement, communicate and manage IT policies and procedures as it relates to
• process and compliance
• Responsible for implementation and review of IT general controls for business applications as
• it relates to Sarbanes Oxley requirements
• Design and report on IT metrics to senior management as it relates to change management,
• help desk and system and service availability
• Implement IT project request and management process to provide visibility to senior
• management on the business value of IT projects and services
• Work with business and other IT managers to define enterprise business applications and
• reporting architectures
• Review application architectures, business needs, overlaps and recommend system
• integration strategies during corporate acquisitions
• Participate in IT budgeting exercise and manage IT costs effectively
• Partner with business in defining project priorities and manage the successful and timely completion of IT Applications projects

Feb 2006 – Jul 2009 · 3 yrs 5 mos

• Design and Develop cash flow and cash projection reporting
• Design and implement a budgeting and planning tool for Sonic Solutions
• Design and implement a business process automation tool for Sonic Solutions
• Upgrade of SAGE ERP solution
• Manage a team of IT professionals to provide business application services to management