Managed
Data Engineering
Services

We deliver the hands-on expertise you need to continuously operationalize scalable, reliable data pipelines — built for  the demanding pace of change in modern analytics & AI.
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Managed Data Engineering Services

Whether modernizing, migrating,
or maintaining, our experts work with you where you are

CloudGeometry’s Managed Data Engineering Services help businesses build, operate and maintain resilient data platformsand leverage the benefits of a modern lakehouse architectures. Our packaged services provide crucial enablers for a wide range of AI  capabilities, from AI agents to advanced analytics. You get a structured, end-to-end solution for continuous optimization of data infrastructure, in a repeatable model that ensures security, scalability, and cost efficiency while minimizing risks and operational complexity.
CloudGeometry can streamlines your transition to cloud-native flexiblity and scalabiltity, containerizing existing apps and building a Kubernetes-optimized SDLC to ensure the continuously efficient development of new features and applications.
Features

Managed Data Engineering Services focused on Key Business Outcomes

CloudGeometry’s Managed Data Engineering Services deliver measurable impact across performance, cost, security, and scalability.
Whether maintaining a mature platform or modernizing for AI and advanced analytics, our services are designed to align with business goals and accelerate data-driven outcomes.

Enhanced Data Reliability & Security

Continuous monitoring ensures data integrity, compliance (GDPR, HIPAA, SOC 2), and proactive end-to-end security.

Scalability & AI Integration

Lakehouse architectures streamline real-time analytics, AI-driven business intelligence, and predictive decision-making.

Cost Optimization & Efficiency

Available AI-driven resource allocation, auto-scaling, and cloud cost monitoring reduce operational expenses.

Accelerated Data Transformation

Migration services pave the way to a smooth transition from legacy data warehouses to modern lakehouse architectures.
Tiers, Needs, Growth

Flexible Service Tiers that Match Your Evolving Needs

Managed Data Engineering Services scalable spanning a three-tiered service model. Give your organization the flexibility to engage at the level that suits you best — whether you're reinforcing the foundations or pushing for peak performance.
Features
Foundational monitoring, compliance & security
Enhanced cost management, performance tuning & AI-driven automation
AI-powered self-healing pipelines, zero-trust security models & predictive cost optimization
Get started with the critical foundations — robust monitoring, baseline compliance, and core security measures to ensure operational readiness and peace of mind.
Foundational monitoring, compliance & security
Enhanced cost management, performance tuning & AI-driven automation
AI-powered self-healing pipelines, zero-trust security models & predictive cost optimization
Step up with intelligent enhancements including advanced cost management, performance tuning, and AI-powered automation to drive efficiency and value.
Foundational monitoring, compliance & security
Enhanced cost management, performance tuning & AI-driven automation
AI-powered self-healing pipelines, zero-trust security models & predictive cost optimization
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Get Started

We understand that no two organizations are the same. That’s why we offer custom solutions tailored to your specific goals, systems, and scale — ensuring the right fit for your unique needs.

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Managed Data Engineering Services

Data Lakehouse Transition

Modernize your data infrastructure by transitioning to a unified data lakehouse architecture—eliminating silos, reducing overhead, and enabling real-time insights across both structured and unstructured data.
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Modernization & Strategic Choice

Make the move to a Cloud Storage Lakehouse

Overcome the limitations of your current architecture to achieve both long-term goals and operational effectiveness.

Composite Storage Lakehouse

Ideal for organizations looking to modernize incrementally while preserving existing investments.
Integrates with legacy systems while supporting cloud-native workloads
Enables phased migration with minimal disruption
Balances on-prem and cloud storage to optimize performance and cost
Supports hybrid analytics across distributed data sources

Monolithic Cloud Storage Lakehouse

Best for organizations ready to fully embrace cloud-native scale and simplicity.
Centralizes all data into a unified, cloud-based platform
Reduces complexity and management overhead
Enhances scalability, governance, and security in a single environment
Enables advanced AI/ML workloads and real-time analytics at scale
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