Cloud Data Intelligence
Turn your data into a strategic asset with modern cloud analytics and AI.
Overview
What We Deliver
Atayo helps organizations build modern data platforms on AWS — from data strategy and lake house architecture to AI/ML workloads and generative AI solutions. We combine deep AWS data services expertise with industry knowledge to deliver analytics and intelligence capabilities that drive real business decisions.
What's Included
Services
Data Strategy
Define a data vision, governance model, and platform roadmap that aligns your data investments with business outcomes and regulatory requirements.
Data Replatforming
Migrate legacy data warehouses and ETL pipelines to modern AWS data services — Amazon Redshift, Glue, and Lake Formation — with minimal disruption.
Data Lake/Health Lake
Design and build scalable data lakes on Amazon S3 with AWS Lake Formation governance, and deploy Amazon HealthLake for FHIR-compliant healthcare data management.
Data Warehouse & Analytics
Implement Amazon Redshift data warehouses and Amazon QuickSight dashboards that give business users self-service access to trusted, governed data.
GenAI - ML
Build generative AI and machine learning solutions using Amazon Bedrock, SageMaker, and foundation models — from RAG-based knowledge assistants to predictive analytics pipelines.
Why It Matters
Key Benefits
Faster Insights
Modern lake house architectures eliminate data silos and reduce time-to-insight from weeks to hours.
Governed Data at Scale
AWS Lake Formation and data catalog tooling ensure data quality, lineage, and access control across your entire data estate.
AI-Ready Platform
A well-structured data foundation is the prerequisite for effective ML and generative AI — we build both together.
Industry Compliance
Healthcare-specific solutions like HealthLake ensure HIPAA-compliant data management for clinical and operational data.
Our Approach
How It Works
Data Discovery & Assessment
Catalog existing data sources, assess quality and governance maturity, and identify high-value use cases.
Platform Architecture
Design the target data platform architecture — lake house, warehouse, or streaming — based on your use cases and scale.
Build & Migrate
Implement the platform, migrate existing data, and build initial analytics and AI/ML workloads.
Operationalize & Scale
Establish DataOps practices, monitoring, and a self-service model that lets your teams build on the platform independently.
Trusted by Organizations Across Industries
Ready to Get Started with Cloud Data Intelligence?
Schedule a consultation with an Atayo AWS architect to discuss your environment and goals.