Building a Unified Data Platform for a High-Growth SaaS Company
From scattered data across 15+ tools to a unified platform processing 2.4M records daily with real-time executive dashboards and sub-200ms query latency.
High-Growth Series B SaaS Platform
A Series B SaaS company with rapid customer growth and an expanding product surface. As the company scaled, critical business data became fragmented across 15+ tools — making it impossible for executives to get a unified view of business performance without days of manual data wrangling.
No single source of truth for business decisions
Business data lived in 15+ disconnected tools — production databases, Stripe, HubSpot, Intercom, Salesforce, and various internal systems. There was no single source of truth, and executives were making critical growth decisions based on stale spreadsheet exports.
The data team spent most of their time pulling and reconciling data rather than analyzing it. Board reports required a full week of manual preparation, and customer health metrics were always at least a week behind.
Data scattered across 15+ disconnected tools
Executives making decisions on week-old spreadsheet exports
Board report preparation requiring a full week of manual work
No customer health scoring or churn prediction capability
Data team spending 80% of time on data wrangling vs. analysis
A complete modern data stack
Real-Time Data Ingestion Layer
Automated ingestion pipelines pulling data from 15+ sources including PostgreSQL production databases, Stripe, HubSpot, Intercom, Salesforce, Google Analytics, and custom APIs. Change data capture ensures near-real-time sync without overloading source systems.
Key Capabilities
Centralized Data Warehouse
Snowflake-based data warehouse with a well-architected schema designed for analytical workloads. Raw, staging, and production layers with clear data lineage and documentation. Optimized for the query patterns that power executive dashboards and operational reports.
Key Capabilities
Transformation & Modeling Layer
dbt-powered transformation layer that turns raw data into business-ready models. Customer health scores, revenue metrics, usage analytics, and churn predictions — all computed from unified data with full test coverage and version control.
Key Capabilities
Executive Dashboard Suite
Metabase-powered dashboards delivering real-time visibility into business performance. Executives see revenue trends, customer health, product usage, and operational KPIs — all refreshing automatically with sub-200ms query response times.
Key Capabilities
Data Quality & Monitoring
Automated data quality checks running on every pipeline execution. Schema validation, freshness monitoring, row count assertions, and anomaly detection ensure the data powering decisions is always accurate and up to date.
Key Capabilities
From days of data wrangling to real-time insights
2.4M
Records processed daily
<200ms
Query latency
15
Data sources unified
Real-time
Executive dashboards
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