Service

Data Warehousing

One source of truth across marketing, product, and ops. Snowflake, Fivetran, dbt - production grade.

Centralize your intelligence.

Data siloed in different platforms is data wasted. Your marketing team sees one reality, your product team another, and your finance team a third. We build the central infrastructure that pulls these worlds together, creating a single, reliable source of truth for your entire company.

We use the Modern Data Stack - Snowflake for storage and compute, Fivetran for automated ingestion, and dbt for robust modeling. This isn't just about moving data; it is about engineering a pipeline that is tested, documented, and version-controlled, just like your application code.

A typical engagement moves you from "spreadsheet chaos" to a production-grade data warehouse in weeks, not months. We handle the architecture, the connector setup, the transformation logic, and the monitoring, leaving you with a clean environment ready for self-serve BI and advanced analytics.

What we build

Snowflake warehouse design

Architecture and rollout of your Snowflake environment. We set up databases, schemas, and warehouses with proper sizing and role-based access.

Fivetran connector setup

Automation of raw data ingestion. We connect your SaaS platforms and databases to the warehouse, ensuring data flows reliably and securely.

dbt transformation models

Clean, modeled data tables built with SQL and dbt. We implement data tests, documentation, and version control for every transformation.

Source-system integration

Integration of complex sources like Salesforce, Stripe, and Postgres. We handle the messy reality of API limits, schema changes, and delta loads.

Data quality monitoring

Automated checks that alert you before bad data reaches your dashboards. We monitor for freshness, nulls, and business logic violations.

Cost optimization

Management of warehouse spend. We optimize query patterns, warehouse sizing, and ingestion schedules to maximize value per dollar.

Tools

Core Stack: Snowflake, Fivetran, dbt. Alternatives: BigQuery, Redshift, Airbyte. Ecosystem: Hightouch (Reverse ETL), GitHub Actions, Terraform.

Production-grade pipelines.

Reliable infrastructure built for the scale you actually need. From startups scaling their first warehouse to systems supporting more than \$1B in cumulative revenue, we engineer for accuracy first.

See case studies

Frequently asked questions

We pick the tool based on your specific workload and existing ecosystem. Snowflake is often our default for its near-zero maintenance, separation of compute and storage, and excellent support for both structured and semi-structured data.

Yes, they solve different problems. Fivetran automates the extraction and loading (EL) of raw data from your sources into the warehouse. dbt (data build tool) handles the transformation (T) of that raw data into clean, modeled tables ready for analysis.

A typical modern data stack for a mid-market SaaS company usually runs between \$500 and \$3,000 per month in platform fees. We design your architecture with cost discipline to ensure you are only paying for the compute you actually use.

Almost certainly. We regularly integrate data from Salesforce, HubSpot, Stripe, Postgres, MySQL, Meta Ads, Google Ads, and many others. If a pre-built connector doesn't exist, we can build custom ingestion pipelines.

Privacy is built into the design. We implement data masking, role-based access controls (RBAC), and ensure your warehouse configuration complies with your residency requirements (US, EU, etc.).

Start your warehouse.

Tell us about your data sources. We will help you build a source of truth that powers your entire company.

Free Consultation