Pipelines, storage, and compute you can trust—so answers arrive when you need them. ETL/ELT, warehousing, dbt, dashboards, and governance with clear costs.
We design pragmatic data architectures: events in, models that matter, dashboards that inform. From ingestion to governance, we keep the footprint maintainable and the costs transparent.
Right-sized cloud, clear models, and predictable spend.
Stand up ingestion, storage, and first dashboards with sensible guardrails and alerts.
Optimize pipelines, SLAs, and cost; expand governed data products to new teams.
Enable experiments and ML on curated datasets with clear lineage and quality checks.
KPIs, decisions, and data sources.
Events and CDC with quality checks.
dbt transforms, tests, and lineage.
Dashboards, APIs, and exports.
Cost, security, and policies.
Usage signals drive the backlog.
Budgets, anomaly alerts, and unit economics per team so surprises disappear.
Freshness, schema tests, and column-level lineage so trust is earned.
Event streams for ops dashboards and product signals without brittle polling.
Consolidated CRM, billing, and web events into one source of truth with governed access.
Tagged resources and budgets; alerts on drift and anomalies across environments.
Signals scored for churn and upsell; data products fed success and product teams.
Feature store with versioned datasets and automated backfills for modeling.
Most teams see a usable first dashboard in 4–8 weeks. We start with a core KPI and ship in small slices.
Yes. We support AWS, Azure, and Google Cloud. You keep ownership of code, cloud, and credentials.
Budgets, unit economics, and usage policies by workspace/team with alerts on drift and anomalies.
Both. Fixed scope when the plan is clear; monthly when priorities may shift. Either way you see weekly progress.
We’ll stand up a foundation that scales and pays back quickly.
