# Amazon S3 by Bravas Technology
> Bravas Technology is an Implementation Partner and Managed Service Provider (MSP) of Mitti products. We were built by former employees who have 15+ years collective experience working with SafetyCulture and its clients. We have successfully implemented SafetyCulture across 100+ businesses and are experts in solving complex operational problems with technology. Bravas Technology is a Gold SafetyCulture Partner.

Canonical page: https://integrations.mitti.com/partners/amazon-s3-by-bravas-technology
Marketplace: Mitti
Last updated: 2026-08-10
Logo: https://assets.partnerfleet.app/8mrmbycf7p1usv5oziwszqsw9mnf

## At a glance
- Categories: [Data Warehouse and Analytics](https://integrations.mitti.com/t/categories/data-warehouse-and-analytics)
- Features: [Inspections](https://integrations.mitti.com/t/features/inspections), [Actions](https://integrations.mitti.com/t/features/actions), [Issues](https://integrations.mitti.com/t/features/issues), [Schedules](https://integrations.mitti.com/t/features/schedules), [Assets](https://integrations.mitti.com/t/features/assets), [Training](https://integrations.mitti.com/t/features/training)
- Pricing: Enterprise Pricing
- Website: [bravastech.com](https://bravastech.com)

## Call to actions
- **Contact Us** — submit the contact form on https://integrations.mitti.com/partners/amazon-s3-by-bravas-technology

## Features
- **Structured Data Lake Layers** — Mitti API data is organised into Bronze (raw), Silver (curated), and Gold (analytics-ready) datasets within S3. This layered approach separates ingestion from curated analytics outputs. It aligns directly with Medallion architecture principles
- **AWS-Native Transformations** — Transformations are implemented using AWS-native services such as Glue or Spark-based processing. JSON flattening, schema mapping, and deduplication ensure consistent data quality. Incremental merge logic supports scalable enterprise refresh cycles.
- **Partitioned Storage Strategy** — Data is partitioned by timestamp and batch identifiers to minimise query scanning and reduce cost. Structured folder design enforces separation between ingestion and reporting datasets. This improves performance and cost control.
- **Incremental Batch Processing** — Watermark ingestion ensures that only updated records are processed in each cycle. Batch IDs enable reconciliation and traceability across Bronze, Silver, and Gold layers. This maintains enterprise-grade reliability.
- **BI Visualisations & Dashboards** — Bravas designs and builds dashboards using Athena or Redshift connected to curated Gold datasets. KPI models support executive and operational reporting. Dashboards provide enterprise visibility into inspections, actions, and compliance performance.

## Description
Bravas delivers a scalable, production-ready Mitti data lake architecture on Amazon S3.

Mitti data is extracted via REST API, landed into partitioned Bronze JSON storage, transformed into curated Silver Parquet datasets, and prepared for structured SQL warehouse modelling via Redshift or Athena.

The solution supports:

• Full and incremental endpoint ingestion
 • Watermark-based updates
 • Batch-level traceability
 • Structured Bronze, Silver, and Gold lake layering
 • Schema enforcement and partition optimisation
 • Business-ready datasets for analytics and BI

Amazon S3 serves as the foundational storage layer for scalable, enterprise-grade Mitti analytics.

## Testimonials
- "The Bravas team delivered an excellent end-to-end data solution for El Jannah, integrating Mitti, 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." — Tyler Mason, CTO at El Jannah

## Pricing
- **Enterprise Pricing** — Contact Us

## FAQ
### Is S3 alone sufficient?
No - Amazon S3 provides storage only. AWS Glue, Spark-based jobs, or Athena are required for transformation and querying.

### What transformation services are required?
AWS Glue is commonly used for ETL processing and schema transformation. Other AWS-native compute services may also be used.

### How is pricing structured?
Costs include S3 storage, Glue compute (if used), and Athena or Redshift query costs for reporting.

### Can dashboards connect directly to S3?
No - dashboards connect through Athena or Redshift, not directly to S3 storage.