Amazon Athena by Bravas Technology
Enterprise ETL pipelines, structured SQL warehouse tables, and analytics-ready SafetyCulture data powered by Amazon Athena.
Features
Athena-Optimised Schema Design
Curated Silver datasets are structured in Parquet format and registered in AWS Glue Data Catalog. Schema enforcement ensures reliable SQL querying. Partition pruning reduces query scanning costs.
Glue Data Catalog Integration
All curated datasets are centrally registered for structured metadata management. This supports consistent SQL access, governance, and schema tracking. Catalog integration enables scalable reporting access.
Partitioning & Cost Optimisation
Datasets are partitioned by timestamp and batch identifiers to minimise scanned data volumes. Incremental ingestion ensures efficient refresh cycles. This controls cost while maintaining data freshness.
Incremental Data Updates
Watermark logic ensures only new inspection and action records are processed. Batch tracking supports monitoring and reconciliation across layers. This supports reliable serverless analytics.
BI Visualisations & Dashboards
Bravas designs and builds dashboards connected to Athena datasets via supported BI tools. KPI definitions and structured reporting models are built on top of curated Gold tables. Dashboards deliver executive and operational insights across SafetyCulture data.
Description
Bravas delivers a scalable, production-ready integration from SafetyCulture into Amazon Athena.
SafetyCulture data is extracted via REST API, landed into structured Bronze storage in S3, transformed into curated Silver datasets, and exposed as structured SQL tables optimised for Athena querying.
The solution supports:
• Full and incremental endpoint ingestion
• Watermark-based updates
• Batch-level traceability
• Partitioned and optimised Parquet datasets
• 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
• Partitioned and optimised Parquet datasets
• Structured SQL transformations
• Relational modelling for inspections, actions, users, groups, sites, and activity logs
• Business-ready marts for analytics and BI
Amazon Athena provides serverless, cost-efficient analytics over curated SafetyCulture datasets.
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
Amazon S3 for storage and AWS Glue Data Catalog for schema registration are required.
Light transformations can be performed in Athena SQL. For heavier transformations, AWS Glue or Spark-based jobs are recommended.
Athena is charged per terabyte scanned per query. Partitioning and Parquet optimisation reduce query cost.
Yes - Power BI, Tableau, and other JDBC/ODBC tools can connect using Athena drivers.
