From Raw Data to Business Decisions
Most companies have more data than they can use. The bottleneck is not collection — it is transformation, quality, and accessibility. We build the infrastructure that turns raw event streams and operational databases into reliable, queryable, business-ready datasets.
Modern Data Stack
- dbt for SQL-based transformation with testing, lineage, and documentation
- Airbyte or Fivetran for connector-based ingestion from 200+ sources
- Apache Airflow for workflow orchestration and pipeline scheduling
- BigQuery, Snowflake, or ClickHouse as the analytical warehouse
- Apache Kafka for real-time event streaming between services
- Apache Spark for large-scale batch processing
Real-Time Analytics
Kafka-based event streaming with exactly-once semantics. ClickHouse for sub-second analytical queries on billions of rows. Real-time dashboards with WebSocket-based updates. Anomaly detection pipelines that alert within seconds of a metric moving outside expected bounds.
Business Intelligence
We deploy and configure Metabase, Looker, or Mode as the self-service analytics layer, train business users on query construction, and build a governed metric layer so every team uses the same definitions for revenue, DAU, and churn. No more conflicting numbers in board presentations.