Solution Data & Analytics — streaming, ELT, metrics, and BI, built for scale.

Data & Analytics

Ship a modern data platform: event streaming, ELT/ETL, a governed warehouse, a metrics layer, and BI — with security & cost controls from day one.

Kafka dbt Snowflake
Analytics dashboard on laptop

From raw events to trusted insights

Real‑time & Batch

Stream events and run ELT jobs on a shared platform; power alerts and dashboards.

Semantic Metrics

Define governed metrics (revenue, churn, LTV) once; reuse in BI and apps.

Governance & Cost

Data contracts, lineage, PII controls, and FinOps to keep spend in check.

Platform Modules

Need something custom?

Ingestion

CDC, webhooks, events, files. Connectors for Salesforce, Netsuite, ads, and more.

Fivetran • Airbyte • Kafka Connect

Pipelines

Stream processing, orchestration, and ELT jobs with observability.

Kafka • Flink • Airflow • dbt

Warehouse/Lake

Central store with partitions, time‑travel, and role‑based access.

Snowflake • BigQuery • Databricks

Semantic/Metric Layer

Reusable metrics & entities with access control and versioning.

dbt Metrics • MetricFlow • Cube

BI & Dashboards

Self‑serve analytics for business teams with governance and SSO.

Looker • Power BI • Superset

ML‑Ready

Feature stores, batch/stream features, and model monitoring hooks.

Feast • Vertex AI • SageMaker

Popular Integrations

Kafka Flink Airflow dbt Snowflake BigQuery Databricks Looker Power BI Superset

Reference Architecture

  • Event capture (SDKs/webhooks) → stream/topic design
  • Orchestration & ELT with tests, CI, & data quality gates
  • Warehouse/lake with fine‑grained RBAC and masking
  • Metric layer & governed datasets for BI and apps
  • Observability (lineage, freshness, costs) and alerting
  • IaC: Terraform + GitOps; blue/green data deployments
Modern data platform diagram

Security, Governance & FinOps

Privacy & Access

PII discovery, column masking, tokenization, and SSO/RBAC for analysts and apps.

Quality & Lineage

Tests, freshness SLAs, lineage graphs, and incident runbooks.

Cost Controls

Warehouse spending guardrails, usage tiers, and auto‑suspend schedules.

Delivery Approach

1

Discover

Use‑cases, sources, KPIs, data map, and governance baseline.

2

Pilot

Ingest 2–3 sources, dbt models, and one executive dashboard.

3

Scale

Add domains, metric layer, SSO, and cost/quality observability.

4

Operate

Runbooks, SLAs, enablement, roadmap, and managed support.

FAQs

How long to first dashboard?

With existing connectors, pilot dashboards typically ship in 4–6 weeks.

Cloud choices?

We deploy to your AWS/Azure/GCP or our managed environment; you own the data.

Migration support?

Yes—model conversion, dual‑run validation, and staged cutover with feature flags.

Ready to modernize your data stack?

Share your use‑cases and sources; we’ll propose a secure, scalable plan.