Move beyond dashboards to actionable data systems. From event tracking and warehouse modeling to real-time pipelines and custom reporting, build the infrastructure that powers data-driven decisions.
Define what to track, how to name events consistently, and instrument your product so data is reliable from day one.
Build ETL processes that move data from production systems into warehouses without breaking or losing records.
Transform raw events into business metrics with SQL models that calculate CAC, retention, cohorts, and LTV correctly.
Create dashboards and tools that let teams answer questions without waiting for data requests or writing SQL.
Companies with broken or incomplete analytics—event tracking is inconsistent, dashboards are slow, or teams don't trust the numbers
Teams scaling past Mixpanel or Amplitude and need warehouse-native analytics with custom modeling and flexibility
Businesses integrating data across systems (Stripe, Salesforce, production DBs) into unified reporting and need data pipelines that don't break
Organizations making data-driven decisions but lacking confidence in attribution, cohort definitions, or metric calculations
Your event tracking is incomplete or inconsistent—data is missing, event names are ambiguous, and you can't trust funnel calculations
Dashboards are slow or limited—you've hit the limits of off-the-shelf tools and need custom SQL models with sub-second query performance
Data lives in silos—Stripe revenue, Salesforce leads, and product usage are separate and you can't connect them for customer 360 views
You can't answer basic questions without data team intervention—there's no self-serve reporting and requests take weeks
Integrations break constantly—Fivetran or Stitch pipelines fail, schemas drift, and data quality issues aren't caught until reports are wrong
Set up Snowflake, BigQuery, or Redshift with proper modeling and governance
Design and implement consistent event taxonomies across your product
Build fast, reliable dashboards that teams actually use
Connect Stripe, Salesforce, and other tools into unified data pipelines
Most analytics problems stem from poor instrumentation or broken pipelines. Let's identify what's fixable vs. what needs rebuilding.