Decisions Backed by Data You Can Trust Powered by AWS.
Engineered by Eucloid.
Backed by deep in-house engineering expertise in Amazon Web Services, Eucloid with its data-first mindset helps enterprises design and operationalize modern data platforms, delivering consistency, scalability, and long-term value.
The Capability is There -
The Value is Engineered
AWS Made for Data
Build systems that perform at scale across your data ecosystem.
A Central Layer Built for Scale and Access
Central scalable data layer built on Amazon S3 and governed by AWS Lake Formation.
Decouple storage and compute to maximize cost efficiency and ensure independent scaling without bottlenecks.- Incorporate open-source frameworks like Apache Hudi or Iceberg to introduce transactional capabilities to your data lake.
- Consolidate structured, semi-structured, and unstructured data into a single, highly available repository for unified analytics.
Systems That Stay in Step with Every Event
An event-first architecture that leverages decoupled services and real-time streams to convert data events into actionable workflows across systems and applications.
- Event-driven system design using AWS-native capabilities
- Decoupled microservices for greater flexibility and resilience
- Real-time data flow orchestration across systems
- Integration with analytics, applications, and workflows
Keep Your Data Reliable with Continuous Visibility and Monitoring
Integrated visibility across your data landscape, proactively identifying anomalies, accelerating resolution, and ensuring decisions are never impacted by unseen data issues.
- Continuous monitoring of data quality and pipeline health
- Intelligent alerting and anomaly detection
- End-to-end visibility into lineage and dependencies
- Faster debugging and root cause identification
Streamline Data Engineering with Systems Designed for Performance
A modern data engineering layer that connects ingestion to transformation and delivery, ensuring your data is always ready for downstream use.
- Modern ETL/ELT frameworks built for scale
- Distributed processing for large and complex datasets
- Workflow orchestration and automation
- Performance optimization with cost awareness
Our Approach
A proven methodology to move from concept to production-grade architecture.
Discovery
We start by understanding your current data landscape, AWS footprint, and business priorities.
Discovery
We start by understanding your current data landscape, AWS footprint, and business priorities.
Architecture
We design data architectures that balance scale, performance, and cost—built as one coherent system.
Architecture
We design data architectures that balance scale, performance, and cost—built as one coherent system.
Implementation
Our teams turn architecture into working systems—through pipelines, integrations, and production-ready reliability.
Implementation
Our teams turn architecture into working systems—through pipelines, integrations, and production-ready reliability.
Optimization
Continuous refinement of the platform—improving performance, managing costs, and adapting as requirements grow.
Optimization
Continuous refinement of the platform—improving performance, managing costs, and adapting as requirements grow.
What sets our AWS apart
Build systems that perform at scale across your data ecosystem.
Deep AWS Expertise
Our teams bring hands-on experience across core AWS data services such as S3, Glue, Lambda, Redshift, and Kinesis—delivering data platforms that are built for production and proven across enterprise environments.
Engineering-Led Approach
Every engagement is grounded in strong engineering principles to make AWS systems work in practice—connecting services, stabilizing pipelines, and keeping data usable across the stack.
Data and Cloud Heritage
As a data-first consulting partner, we bring a structured and analytical approach to every AWS engagement—ensuring decisions are informed, practical, and aligned with long-term outcomes.
Cross-Industry Experience
With experience across retail, financial services, travel, and consumer goods, we bring a well-rounded perspective to AWS deployment experience.
AWS Transformations We've Led
AWS Transformations We've Led
Cybersecurity & Compliance
100+ TB Enterprise Email Archive Migration on AWS
Built an AWS-native migration platform to automate large-scale PST-to-EML conversion workflows across multiple global regions. This engagement enabled secure processing, centralized migration tracking, and end-to-end visibility while ensuring efficient email archive conversion and onboarding processes.
RETAIL
Centralizing 200 TB+ of Customer Data for Enterprise CRM Analytics
Built a centralized customer intelligence platform on AWS to unify large-scale customer and CRM data across enterprise systems. The solution streamlined data integration, enabled governed customer analytics, and supported marketing and CRM teams with automated segmentation and campaign insights.
Digital Commerce
Processing 200 TB+ of Customer Data for Large-Scale Marketing Analytics
Integrated customer, campaign, and engagement data into a single AWS-based analytics environment to support enterprise marketing operations. With 350+ automated data workflows in place, business teams gained faster access to customer insights, audience segmentation, and campaign performance reporting.
Build What Your Data Strategy Demands Next
Set up a data platform on AWS that supports how your business runs today—and where it's headed.
Go further with your data than ever before
Experience how AI and analytics can support meaningful business outcomes
Talk to a Data & AI ExpertEucloid brings hands-on expertise across core AWS data services including S3, Glue, Lambda, Redshift, Kinesis, EMR, and Athena. We design and implement end-to-end data platforms tailored to your workloads and scale requirements.
Yes. Eucloid is an Advanced AWS Partner with verified competencies in data and analytics. Our teams include AWS-certified architects and engineers with production experience across enterprise deployments.
Engagement timelines vary by scope. A focused discovery and architecture phase typically takes 2–4 weeks. Full platform builds range from 8–16 weeks depending on data volume, integration complexity, and team structure.
Yes. We have delivered large-scale migrations including 100+ TB workloads. Our migration methodology covers assessment, pipeline design, parallel validation, cutover, and post-migration optimization.
Eucloid offers managed services and continuous optimization post-deployment. This includes pipeline monitoring, cost governance via FinOps practices, performance tuning, and capability enablement for your internal teams.