Snowflake by Bravas
Enterprise ETL pipelines, structured SQL warehouse tables, and analytics-ready SafetyCulture data built natively in Snowflake.
Features
Native Snowflake ELT Architecture
SafetyCulture data is extracted via REST API and processed through orchestrated pipelines before being transformed directly within Snowflake using SQL-based ELT patterns. Streams and Tasks manage incremental updates, while virtual warehouses provide scalable compute. This ensures enterprise-grade reliability, performance, and workload isolation.
Incremental & Full Load Processing
Watermark-based ingestion ensures that only new or changed records are processed during each run. Batch IDs provide traceability across Bronze, Silver, and Gold layers for monitoring and reconciliation. This approach reduces compute costs while maintaining data freshness.
Governance & Role-Based Access
Role-based access controls, row-level security, and warehouse separation ensure controlled data access across teams. Curated datasets are secured according to enterprise governance standards. Data lineage and auditability are supported through structured pipeline execution.
Structured Warehouse Tables
Curated Gold datasets are modelled into relational fact and dimension tables representing inspections, actions, users, sites, groups, and activity logs. Stored procedures implement business rules, KPI calculations, and incremental merge logic. The result is a structured SQL warehouse optimised for analytics and cross-entity joins.
BI Visualisations & Dashboards
Gold-layer tables are exposed to BI tools such as Power BI, Tableau, or Looker for executive and operational reporting. We design KPI definitions and reusable reporting models aligned to SafetyCulture entities. Dashboards are built for scalable self-service analytics and decision-making.
Description
Bravas delivers a scalable, production-ready integration from SafetyCulture into Snowflake.
SafetyCulture data is extracted via REST API using secure authentication, landed into a structured Bronze layer, transformed into curated Silver datasets, and modelled into relational Gold warehouse tables inside Snowflake.
The solution supports:
• Full and incremental endpoint ingestion
• Watermark-based updates
• Batch-level traceability
• Structured SQL transformations
• Relational modelling for inspections, actions, users, groups, sites, and activity logs
• Business-ready marts for analytics and BI
• Watermark-based updates
• Batch-level traceability
• Structured SQL transformations
• Relational modelling for inspections, actions, users, groups, sites, and activity logs
• Business-ready marts for analytics and BI
Snowflake serves as the final warehouse layer, optimised for performance, governance, secure role-based access, and enterprise reporting at scale.
Testimonials
Tyler Mason
CTO at El Jannah
The Bravas team delivered an excellent end-to-end data solution for El Jannah, integrating SafetyCulture, Employment Hero, Deputy, and Sonder data into our Azure environment. Their structured approach and technical expertise gave us a reliable, scalable data foundation for reporting and operational insights. The implementation was professional, well-managed, and aligned to our broader data strategy.
Pricing
* The pricing here is for display purposes only. You should contact the partner for the most up to date and correct pricing information. We do not take any responsibility for this pricing information, which is provided by our partners. Pricing last updated: 24 Feb, 2026 12:00AM
FAQ
Snowflake Standard Edition or above is required. For advanced security (e.g. row-level security, masking policies), Enterprise Edition is recommended.
No separate modules are required. Transformations are implemented using Snowflake virtual warehouses and SQL. If using Snowpark for Python-based transformations, Snowpark must be enabled (included in most modern Snowflake accounts).
Snowflake charges separately for storage and compute (virtual warehouses). Incremental load design helps minimise compute consumption.
By default, we use Snowflake Tasks and Streams. If you prefer external orchestration (e.g. Airflow), that can be integrated separately.
Any Snowflake-compatible BI tool (Power BI, Tableau, Looker, Sigma, etc.) can connect. BI licensing is separate from Snowflake.
