What We Build
Data Warehouses
Centralized, structured storage for all your business data — built on Snowflake, BigQuery, or Redshift, modeled for fast analytical queries.
ETL & Data Pipelines
Automated pipelines that extract, transform, and load data from all your sources — CRMs, ERPs, databases, APIs — into your warehouse.
BI Dashboards
Interactive dashboards and reports in Looker, Metabase, Power BI, or Tableaudesigned for the people who actually use them.
Real-Time Analytics
Streaming data pipelines with Kafka or Kinesis for operational dashboards that update in seconds, not hours.
Stack & Tools
Data Warehouses
Snowflake, Google BigQuery, Amazon Redshift, ClickHouse
Transformation
dbt (data build tool) for modular, tested, version-controlled SQL transformations
Orchestration
Apache Airflow, Prefect, dbt Cloud for pipeline scheduling and monitoring
Visualization
Looker, Metabase, Power BI, Tableau, Apache Superset, custom React dashboards
Data Strategy
Data Audit
We start by mapping your existing data sources, quality issues, and gaps before building any infrastructure.
Semantic Layer
A defined business metrics layer so every team calculates "revenue," "churn," and "active users" the same way.
Data Quality
Automated tests on every pipelineschema validation, null checks, and anomaly detection so bad data gets caught before it reaches dashboards.
Self-Service Analytics
We train your team to build their own reportsthe goal is to make analysts self-sufficient, not dependent on engineering.