Projects
Selected initiatives from my career — building and scaling data platforms, developing analytics capabilities, and enabling teams and executives to make data-driven decisions.
Global Data Platform & Long-Term Data Strategy
Owned the end-to-end modernization of the analytics and data engineering platform as the company scaled from $200M to $300M ARR and grew to more than 40,000 customers, transforming data from a fragmented reporting function into a scalable business capability. Partnered with executive leadership and business decision-makers to establish trusted data as a foundation for strategic, data-driven decisions — helping the organization scale while building the capabilities and infrastructure needed for its next phase of growth.
- Defined the 5-year data strategy and roadmap, aligning platform modernization, analytics, governance, and AI/ML capabilities with long-term business objectives.
- Owned the data and analytics infrastructure powering critical financial and operating metrics — including ARR, ACV, churn, retention, LTV, bookings, pipeline, and customer acquisition — equipping executive leadership with trusted insights to guide strategic decisions and accelerate growth.
- Architected and modernized the core data platform, combining real-time streaming, dimensional modeling, and a unified metrics layer using BigQuery, dbt, Airflow, and Looker.
- Led strategic partnerships with technology vendors including Google, Snowflake, Looker, Tableau, and Domo, evaluating the future-state data architecture, shaping the modernization strategy, and realigning technology investments and budgets to support the company's growth and long-term data strategy.
Company-Wide External Metrics Accuracy & Data Trust Initiative
Led a company-wide technical program for data accuracy and trust across Facebook, Instagram, Messenger, Ads, and Video, spanning 12+ organizations and 1,000+ critical external-facing metrics. Drove strategy, technical execution, cross-functional alignment, and risk management to ensure externally reported data was accurate, traceable, and compliant — helping protect Meta from multi-million-dollar financial, legal, regulatory, and reputational exposure.
- Owned the program strategy and execution roadmap for 1,000+ critical metrics, defining KPIs, milestones, technical requirements, dependencies, and success criteria across multiple engineering and product organizations.
- Drove execution across 12+ organizations, aligning engineering, data, analytics, product, legal, compliance, and business teams around shared priorities, dependencies, and delivery timelines.
- Partnered with engineering leaders to define and deliver scalable validation, monitoring, and data-quality controls, moving critical checks upstream and reducing the risk of incorrect metrics reaching external platforms.
- Built executive-level program dashboards and KPIs covering accuracy, control coverage, open risks, remediation, dependencies, and compliance, giving VPs and Directors clear visibility into program health and technical risk.
- Translated complex technical risks into clear business impact and executive decisions, helping leadership prioritize engineering investments against financial, regulatory, legal, and reputational risk.
Enterprise Data Platform & Cloud Modernization
Led the data and technology modernization strategy for Gap Inc.'s Global Real Estate and Store Development organization, supporting a multi-brand portfolio spanning Gap, Old Navy, Banana Republic, and other brands. Modernized the organization's data backbone and established a long-term cloud strategy to enable scalable, data-driven real estate and store development decisions.
- Owned and led the long-term data strategy and cloud modernization roadmap, defining the architecture, technology direction, and migration strategy for the organization's data ecosystem.
- Architected and delivered enterprise data and business applications supporting a $3M+ global real estate and store development portfolio, enabling teams to manage and optimize complex real estate and store development operations.
- Designed and implemented a next-generation cloud Data Lake and Data Mart, modernizing legacy data infrastructure and creating a scalable foundation for analytics and reporting.
- Built scalable, automated data pipeline and integration frameworks with strong governance, data quality, security, and high-availability capabilities.
- Enabled consistent data and analytics across Gap, Old Navy, Banana Republic, and other Gap Inc. brands, creating a common data foundation for global real estate and store development.
- Partnered with business and technology leaders to translate real estate and store development needs into long-term data, analytics, and technology capabilities.
- Built, hired, and mentored a distributed team of software and data engineers, establishing the technical capabilities needed to execute the modernization roadmap.
- Established a scalable cloud architecture that reduced dependence on legacy infrastructure and created a foundation for future analytics, automation, and data-driven decision-making.
Cloud Data & Analytics Platform, Built from the Ground Up
Built the data and analytics foundation at Google from the ground up, transforming fragmented data into a trusted, scalable platform supporting product, finance, and marketing. Established the KPIs, reporting, and analytics capabilities that gave teams the data they needed to measure performance, identify opportunities, and make better business decisions.
- Architected and delivered the enterprise data platform on Google Cloud, migrating legacy on-premise infrastructure to a scalable cloud architecture.
- Built end-to-end data capabilities across data ingestion, pipelines, databases, data warehouse, analytics, and BI, creating a unified foundation for partner, vendor, and internal data.
- Established business KPIs and reporting frameworks that enabled product, finance, and marketing teams to consistently measure performance and make data-driven decisions.
- Scaled data and analytics adoption 20x, from ~100 to 2,000+ users, expanding access to trusted data across the organization.
- Built the data engineering organization from the ground up, growing from the first hire to a team of 5 engineers and establishing the capabilities needed to support the growing platform and user base.
- Solved ambiguous and complex data challenges, working across teams to identify practical solutions where requirements, data sources, and business needs were not clearly defined.
- Partnered closely with the Google Cloud team to evaluate new technologies, solve architectural challenges, and identify opportunities to improve the platform.
- Shared lessons learned, architecture patterns, and the cloud migration journey with other Alphabet businesses, helping teams learn from the experience and accelerate their own data and cloud initiatives.