Cloud Adoption Services and Data Warehousing

Migrate to the cloud and modernize your data warehouse for AI, advanced analytics, and real-time insights.

Held back by legacy infrastructure that cannot scale with data demand?

We move enterprises from rigid on-prem systems to elastic, secure cloud architectures built for modern data and AI workloads, so your data estate scales without disruption.

Struggling to unify data across a fragmented multi-cloud estate?

We architect and implement high-performance, governed data platforms across leading cloud ecosystems, consolidating siloed data into a unified foundation that powers consistent BI, AI, and analytics across your enterprise.

Concerned about governance, compliance, and runaway cloud spend?

Our cloud adoption frameworks embed governance controls, FinOps practices, compliance safeguards, and automated monitoring from day one. Every migration is engineered for zero-to-low downtime.

Modernizing Cloud Adoption and Data Warehousing

IDC forecasts cloud infrastructure spending to grow 33.3% in 2025 to $271.5 billion, while non-cloud infrastructure is expected to decline 4.9%—highlighting the accelerating shift toward cloud environments that power modern AI and analytics workloads. Many enterprises struggle to migrate from legacy infrastructure, fragmented systems, and traditional data warehouses that limit scalability, agility, and real-time decision-making.

LevelShift is a Microsoft Solutions Partner for Azure (Infrastructure), a Microsoft Specialized Partner for Data Warehouse Migration, and a strategic Databricks partner. We help organizations plan, migrate, modernize, and optimize cloud environments across Azure, AWS, and multi-cloud ecosystems with minimal disruption. Our services also help enterprises centralize data, improve reporting, and enable real-time analytics across the business.

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Redesigning Data Foundations for Cloud and Analytics

With LevelShift, cloud adoption goes beyond a basic lift and shift. We help enterprises rebuild their data foundations to be cloud-native, governed, and ready for analytics across Azure, AWS, and multi-cloud environments.

Cloud-native data architectures

Purpose-built for performance, scalability, and cost-efficiency across Azure, AWS, and multi-cloud environments using modern cloud-native design patterns and proven enterprise best practices.

Unified data models and governed warehouses

Deliver consistent BI, AI, and advanced analytics through governed data models built on Microsoft Azure, Databricks Lakehouse, and Microsoft Fabric OneLake across your entire data ecosystem.

Flexible, secure landing zones

Enterprise-ready landing zones across Azure, AWS, and hybrid-cloud environments, with security, governance, compliance, and access controls structured to meet regulatory and operational requirements at scale.

Our Cloud Migration and Data Warehousing Services

Cloud Modernization Services Illustration

Adoption strategy and landing zone design

Establish a secure, enterprise-ready cloud landing zone with strategy, governance, networking, backup, and disaster recovery foundations for scalable cloud adoption.

Cloud data warehouse architecture modernization

Design and deploy modern warehouse architectures on Microsoft Fabric, Databricks Lakehouse, Azure Synapse, Amazon Redshift, or hybrid environments, enabling unified data structures for BI, analytics, and AI.

Data migration to cloud warehouses

Move on-prem data warehouses, Hadoop clusters, and operational stores to Microsoft Fabric, Databricks, and leading cloud platforms with governed validation, reconciliation, and zero-to-low downtime.

Cloud-native ETL/ELT and ingestion pipelines

Rebuild and automate pipelines using Microsoft Fabric Data Factory, Databricks Delta Live Tables, ADF, AWS Glue, and event-driven architectures, accelerating analytics delivery with reusable pipeline templates and governed ingestion patterns.

Security, governance, and cost optimization

Embed enterprise governance through Microsoft Purview and Databricks Unity Catalog, with policy controls, access roles, encryption, data retention, and FinOps efficiency to ensure compliance, security, and cost-effective cloud operations.

Post-adoption optimization and support

Drive performance tuning, cloud utilization reviews, data lifecycle management, automation, and COE enablement to continuously optimize cloud and data platform investments and maximize business value.

Talk to the experts who will architect, migrate, and optimize your cloud data platforms

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Kumar Vellore

MD - Data, Analytics
and EI

Jonathan Wilcox

Director - Enterprise Architecture

Our Cloud Adoption Services Approach

Assess workloads, data systems, risks, and total cost of ownership.

Architect cloud warehouses, integration patterns, and governance controls.

Deploy cloud platforms, pipelines, and storage architectures.

Validate workloads, reconcile data, optimize performance, and benchmark.

Scale adoption with BI, AI, semantic models, and usage insights.

Govern cloud operations with policies, monitoring, and continuous optimization.

Customer Impact

Enabling a Title Insurance Company with Enterprise Cloud Migration and Operational Excellence

Facing high infrastructure costs, manual workflows, and legacy on-premises dependencies, the client migrated to Microsoft Azure. Legacy systems were re-platformed, pipelines automated, and document processing modernized for speed and compliance.

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40% Faster Request Processing

Automated document recognition and parallel search reduced processing time significantly across settlement workflows.

35% Reduction in Infrastructure Costs

Migrating from on-premises to Azure eliminated hardware overhead and dedicated server maintenance costs.

45% Improvement in Operational Efficiency

Re-platformed workflows and automated pipelines streamlined operations and improved compliance readiness.

Why LevelShift

Microsoft Solutions Partner for Infrastructure (Azure)
Amazon Strategic Partner for cloud migration and cloud-native architecture services
Microsoft Specialized Partner for Data Warehouse Migration and a strategic Databricks partner
Faster, secure cloud migrations and optimized cloud storage powered by Perforce Delphix expertise

Where are you in your Data Transformation Journey?

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Data Modernization Your Path to Data Transformation

Our Perspectives

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FAQs

Yes. We refactor pipelines for Databricks Delta Live Tables, ADF, AWS Glue, Fabric Data Factory, and iPaaS engines, establishing reusable patterns, lineage visibility, and change tracking aligned to modern ELT standards.

We apply data classification, column-level encryption, conditional access, DLP, audit monitoring, and policy enforcement across pipelines, warehouses, event streams, and external connectors to ensure governed landing zones.

Our cloud adoption services and FinOps frameworks measure compute consumption, cost-per-query, storage tiers, archive strategy, caching patterns, and workload sizing across cloud platforms to balance performance, availability, scalability, and cost efficiency.

Yes. We run workload fit assessments, performance benchmarking, governance alignment checks, and cost modeling to determine optimal placement, so you move only what makes long-term technical and financial sense.

We trace dependencies, reconcile source logic, validate measures, align security models, preserve semantic relationships, and run regression testing across Power BI, Databricks SQL, Fabric semantic models, and downstream tools.

Yes. Our cloud migration services include consumption optimization, performance tuning, archival strategy, reserved instance planning, and FinOps recommendations across all supported cloud environments.

We start every migration with a thorough readiness assessment covering workload dependencies, data quality, security requirements, and total cost of ownership. From there, we build a phased migration plan with defined validation checkpoints and rollback strategies to ensure a governed, disruption-free move to the cloud.

Azure Synapse is purpose-built for enterprise data warehousing and SQL-based analytics with deep Microsoft ecosystem integration. Databricks is optimized for large-scale data engineering, machine learning, and real-time analytics on Apache Spark. We help enterprises assess which platform fits their workloads best, and in many cases architect both in a complementary setup.

It depends on your workload, governance needs, and data strategy. We assess each client's environment and recommend the right fit or the right combination. Fabric suits Microsoft-first enterprises. Databricks leads in AI and large-scale data engineering. Synapse remains strong for SQL-heavy warehousing. We ensure the architecture delivers long-term value, not just platform preference.

A data lake stores raw, unstructured, and structured data for exploration and data science. A data warehouse stores curated, structured data optimized for BI and SQL analytics. We typically recommend a Lakehouse architecture, combining the flexibility of a lake with the governance of a warehouse, delivered through Databricks Lakehouse or Microsoft Fabric.

We embed security from day one, not as an afterthought. This includes data classification, encryption, role-based access controls, private network connectivity, and audit logging across every layer of the migration. On Azure, we use Microsoft Purview and Defender for Cloud. On AWS, we leverage IAM, Macie, and Security Hub to ensure full compliance coverage throughout the migration.

Ready to modernize your data estate? Let's map your cloud adoption path.