Overview
Hybrid Data Strategy Accelerator on AWS is a joint offering by Develeap (DevOps & Infrastructure) and Nogamy (Data & Analytics) designed to help organizations modernize their data infrastructure, unify fragmented sources, and unlock business insights — all within a secure, automated, and scalable AWS-native environment.
The solution provides a repeatable framework for building centralized data platforms in hybrid and multi-account AWS environments, ideal for organizations that have undergone mergers or operate with siloed data across on-premises and cloud systems. At its core, the architecture leverages Amazon S3 for raw data storage, AWS Glue and Step Functions for ETL orchestration, Amazon Redshift for data warehousing, and Amazon QuickSight for self-service analytics. All infrastructure is deployed using Infrastructure as Code (IaC) with Terraform and Terragrunt, ensuring consistency, auditability, and faster time-to-delivery.
With full automation of cloud provisioning, data pipeline execution, and off-hours scaling, the solution ensures long-term operational efficiency and cost optimization. It is capable of processing millions of transactions daily, supporting data volumes in the terabyte range, and delivering insights in minutes rather than days. This makes it particularly suitable for transaction-heavy enterprises, including those in fintech, e-commerce, public sector, and other regulated industries. The offering includes discovery, implementation, enablement, and optional managed services, making it a complete end-to-end accelerator for organizations investing in their AWS-based data strategy.
Highlights
- End-to-end framework for implementing a scalable data strategy across hybrid and multi-account AWS environments, with secure connectivity and centralized data management.
- Combines AWS-native services (S3, Glue, Step Functions, Redshift, QuickSight) with fully automated Infrastructure as Code, enabling fast provisioning and repeatable deployments.
- Optimized for high-volume analytics use cases, including post-merger unification, BI modernization, and self-service data access — with built-in cost optimization features.