Data warehouse design - Snowflake, BigQuery, Redshift, Databricks
Service
From raw events to trusted metrics.
Pipelines, warehouses, dashboards, decision intelligence. We build the warehouse, ship the dashboards, and put a layer of AI on top to surface what matters.
Overview
Every company has data. Most can't trust theirs. We build the warehouse, the pipelines, and the models that turn raw events and operational tables into numbers leadership actually believes - and dashboards your team uses instead of avoiding. With governance, lineage, and quality checks in place, we then add an AI layer where it earns its place: text-to-SQL for analysts, anomaly detection on the metrics that matter, automatic summaries of what changed and why.
Capabilities
What we deliver
The full surface area of this discipline - pick the slice you need today, or hand us the whole ambition.
ELT pipelines with dbt, Airbyte, Fivetran, custom Python
Streaming pipelines - Kafka, Flink, Kinesis, Pub/Sub
Reverse ETL - pushing warehouse data back into operational tools
BI and dashboards - Looker, Metabase, Tableau, Superset, Sigma
Semantic / metric layer for consistent definitions across tools
Data quality and observability - Great Expectations, Monte Carlo, Elementary
Data governance, lineage, and access controls
Self-serve analytics enablement for non-technical teams
AI on top of data - text-to-SQL, anomaly detection, exec summaries
Process
Our approach
A predictable rhythm with deliberate decision points - so you always know where we are and what's next.
01
Audit
Sources, current pipelines, dashboards, definitions, trust gaps.
02
Model
Dimensional model in dbt, with documented business logic.
03
Pipelines
Reliable ELT with monitoring and alerting.
04
Dashboards
Built around real decisions, not vanity metrics.
05
Trust
Quality tests, lineage, on-call for data.
06
AI layer
Text-to-SQL, anomaly detection, narrative summaries.
Stack
Technologies we use
Chosen for fit, not fashion. We bring the playbook; your team keeps the keys.
SnowflakeBigQueryRedshiftDatabricksdbtAirbyteFivetranKafkaLookerMetabaseTableauSupersetSigmaCubeGreat Expectations
Where we work
Industries we serve in this discipline
eCommerce
Logistics
Healthcare
Media
EdTech
IT Services
Government & Public Sector
BFSI & Fintech
Manufacturing & Industry 4.0
Travel & Hospitality
Outcome
What you get
A warehouse with documented marts, version-controlled transformation code, dashboards your team actually opens, a data dictionary, quality tests with alerts, and an AI assistant on top of the warehouse for natural-language questions.
FAQs
Frequently asked
Snowflake and BigQuery are the safe defaults. Specifics depend on your existing cloud, query patterns, and budget.
We tend to use the modern data stack (dbt + warehouse + EL tool) rather than build from scratch. Faster, cheaper, more maintainable.
Yes - usually a metric layer problem, not a tool problem. We rebuild the trust before adding anything new.
Real-time costs real money. We design for the cadence the business actually needs.
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Speak to an expert
Have a goal you want unlocked?
Come to us. We'll turn it into outcomes - with surgical precision.