Case Study

LastPass

Refactoring a Legacy Warehouse for Performance, Trust, and Scale



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Building a Scalable Data Platform for a Security-First Business

Context

As a global identity security platform, LastPass handles sensitive data across millions of users and enterprise accounts. As data volumes continue to grow over time, the need for a scalable, high-performing data platform becomes critical. The existing data warehouse struggled with latency, compliance gaps, and limited usability, hindering reporting, forecasting, and operational agility. To support long-term business growth, the company partnered with us to launch a comprehensive data warehouse modernization initiative using Delta Lake, dbt, and Databricks.

Challenges

  • Disconnected data sources created delays and inconsistencies across reports

  • Incomplete or duplicated records lowered trust in dashboards and KPIs

  • Real-time performance tracking was limited by pipeline lag

  • Regulatory compliance was at risk due to gaps in PII handling

  • Reporting performance issues slowed key business decisions

Solution

Our Data engineering team has restructured the warehouse using a Medallion architecture to organize data into Bronze (raw), Silver (validated), and Gold (analytics-ready) layers. Automated ingestion pipelines pull data from systems like Salesforce, Stripe, and AWS.

PII is flagged and handled at ingestion, and dbt powers modular transformations across Silver and Gold layers. Business-ready marts (e.g., Customer360, Revenue Reporting) now support self-service tools like Power BI and Tableau. The system is designed for security, scalability, and continuous integration, with role-based access control and full audit logging.

Results

  • 80% faster report loads, with dashboards now loading in under 10 seconds

  • 40% reduction in onboarding time for new datasets and pipelines

  • 70% team adoption of curated data marts for day-to-day reporting

  • Built-in PII governance ensures GDPR and CCPA compliance

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