Ship a modern data platform: event streaming, ELT/ETL, a governed warehouse, a metrics layer, and BI — with security & cost controls from day one.
Stream events and run ELT jobs on a shared platform; power alerts and dashboards.
Define governed metrics (revenue, churn, LTV) once; reuse in BI and apps.
Data contracts, lineage, PII controls, and FinOps to keep spend in check.
CDC, webhooks, events, files. Connectors for Salesforce, Netsuite, ads, and more.
Fivetran • Airbyte • Kafka Connect
Stream processing, orchestration, and ELT jobs with observability.
Kafka • Flink • Airflow • dbt
Central store with partitions, time‑travel, and role‑based access.
Snowflake • BigQuery • Databricks
Reusable metrics & entities with access control and versioning.
dbt Metrics • MetricFlow • Cube
Self‑serve analytics for business teams with governance and SSO.
Looker • Power BI • Superset
Feature stores, batch/stream features, and model monitoring hooks.
Feast • Vertex AI • SageMaker
Popular Integrations
PII discovery, column masking, tokenization, and SSO/RBAC for analysts and apps.
Tests, freshness SLAs, lineage graphs, and incident runbooks.
Warehouse spending guardrails, usage tiers, and auto‑suspend schedules.
Use‑cases, sources, KPIs, data map, and governance baseline.
Ingest 2–3 sources, dbt models, and one executive dashboard.
Add domains, metric layer, SSO, and cost/quality observability.
Runbooks, SLAs, enablement, roadmap, and managed support.
With existing connectors, pilot dashboards typically ship in 4–6 weeks.
We deploy to your AWS/Azure/GCP or our managed environment; you own the data.
Yes—model conversion, dual‑run validation, and staged cutover with feature flags.
Share your use‑cases and sources; we’ll propose a secure, scalable plan.