Data Engineering
We build data infrastructure that your team actually uses — clean schemas, reliable pipelines, and dashboards that answer real questions. From raw event streams to executive dashboards, we handle the full analytics stack. The goal is a data warehouse your team trusts enough to make decisions from.
What's included
Warehouse Design
Dimensional modeling in BigQuery, Snowflake, or Postgres. Schemas designed for both query performance and team usability.
ELT Pipelines
Airbyte for extraction, dbt for transformation. Every transformation tested, documented, and version-controlled.
dbt Models
Modular dbt project with staging, intermediate, and mart layers. Every model has tests and documentation.
Orchestration
Airflow or Prefect for pipeline scheduling, monitoring, and failure handling. No silent failures.
Metrics Layer
Semantic layer with consistent metric definitions across all dashboards. One source of truth for 'revenue' and 'active users'.
Dashboards
Looker, Metabase, or Superset dashboards built around actual business questions, not what the tool makes easy.
How we work
Data Audit
Inventory of existing data sources, quality assessment, and identification of the 5 questions the business most needs to answer.
Architecture Design
Warehouse selection, schema design, and pipeline architecture documented before any code.
Pipeline Build
ELT pipelines with data quality checks, alerting, and incremental loading from the start.
Transform Layer
dbt models covering all core business entities with tests and documentation.
Dashboard Delivery
Business dashboards built with stakeholders, not for them. Iteration included.
Common questions
BigQuery for GCP shops, Snowflake for enterprise, Postgres for early-stage. We'll recommend based on your team size, budget, and existing stack.
That's the typical starting point. Data cleaning and normalization is part of the dbt transformation layer.
Yes. Knowledge transfer is part of every engagement. We don't build black boxes.
Column-level masking, role-based access, and data classification as standard. We can also help with GDPR/CCPA compliance requirements.
Why Piton Studios?
- Deep expertise in each discipline, not a generalist agency spreading thin.
- Transparent process — you know what's happening and why at every stage.
- Handover-ready delivery: documentation, training, and no black boxes.
The Process
- 01Data Audit
- 02Architecture Design
- 03Pipeline Build
- 04Transform Layer
- 05Dashboard Delivery
// Let's talk
Let's talk about this service.
Tell us about your project and we'll come back with a clear scope and timeline.