Why Choose HSO for Data Engineering Services
HSO brings together deep Microsoft technology expertise, industry knowledge, and proven engineering methodologies to deliver data platforms that scale with your ambitions.
Data Engineering Consulting Services
Build robust data pipelines, modernize platforms, and unlock AI capabilities with expert data engineering
Turn Data Complexity Into Competitive Advantage
Comprehensive End-to-end Solutions
Data Engineering Services
HSO delivers end-to-end data engineering capabilities designed to streamline data operations, enhance scalability, and prepare your organization for advanced analytics and AI-driven transformation.
Data Platform Design & Architecture
- Modern data platform strategy aligned to business objectives
- Cloud-native architecture design (Azure, Microsoft Fabric, etc)
- Hybrid and multi-cloud data platform implementation
- Scalable data lake and data warehouse design
- Platform performance optimization and cost management
The Partnership That Delivers
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Microsoft-Certified Data Engineering Excellence
We are a Microsoft Inner Circle partner with advanced specializations in Data & AI Analytics. Our engineers hold certifications across the full Microsoft data stack, Azure Synapse Analytics, Microsoft Fabric, Databricks, and Azure Data Factory, ensuring world-class execution.
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Business Process Expertise That Connects Data to Outcomes
Unlike pure technology providers, HSO understands how data flows through business operations. With decades of ERP and CRM implementation experience, we connect data engineering to operational improvements, enabling true digital transformation rather than isolated technical projects.
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Industry-Specific Data Engineering Solutions
Our data engineers understand the unique requirements of your industry—from regulatory compliance in financial services to supply chain optimization in manufacturing. We deliver solutions tailored to your sector's specific data challenges and opportunities.
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Proven Accelerators and Frameworks
HSO's proprietary data engineering enterprise landing accelerators can reduce implementation time by up to 50%. Our pre-built frameworks, templates, and best practices enable faster deployment while maintaining quality and scalability.
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End-to-End Support From Strategy to Operations
We don't just build platforms, we ensure they deliver value. From initial assessment through deployment and ongoing optimization, HSO provides continuous support to maximize return on your data engineering investments.
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AI-Ready Data Engineering
Every data platform we build is designed with AI readiness in mind. We establish the foundation needed to support machine learning models, Copilot integrations, and advanced analytics, ensuring your platform evolves with emerging technologies.
Built On Industry-Leading Technology
Our Data Engineering Technology Stack
HSO leverages best-in-class tools across the Microsoft ecosystem and partner platforms to build future-proof data solutions.
Microsoft Power Platform
Power BI
Dataverse
Microsoft Purview
Azure Data Factory
Azure Synapse Analytics
Microsoft Copilot
Our customers
Customer that rely on our data engineering expertise
Common Data Engineering Challenges & HSO Solutions
Organizations face predictable obstacles when modernizing data infrastructure. HSO's proven methodologies address these challenges head-on with practical, scalable solutions.
Siloed Data Across Disparate Systems
Fragmented data stored across legacy systems, cloud applications, and on-premises databases limits accessibility and analytics capabilities.
HSO Solution: We design unified data platforms that integrate all sources into a single, governed environment—enabling consistent access and comprehensive analytics across your organization.
Poor Data Quality Undermines Trust
Inconsistent formats, duplicates, and missing information reduce confidence in data-driven decisions and slow analytics projects.
HSO Solution: Implement automated data quality frameworks with validation rules, profiling tools, and continuous monitoring—ensuring reliable, trustworthy data throughout its lifecycle.
Slow Time-to-Insight From Manual Processes
Manual data extraction, transformation, and loading delays insights and increases operational costs.
HSO Solution: Build automated data pipelines with orchestration tools that streamline workflows, reduce manual intervention, and accelerate time-to-value.
Scalability Limitations of Legacy Infrastructure
Aging systems struggle to handle growing data volumes and processing demands, creating performance bottlenecks.
HSO Solution: Migrate to cloud-native architectures designed for elastic scalability—adapting automatically to fluctuating workloads while optimizing costs.
Lack of Data Governance Creates Compliance Risk
Unclear ownership, insufficient lineage tracking, and weak access controls expose organizations to regulatory penalties.
HSO Solution: Establish comprehensive data governance frameworks with role-based access, audit trails, and policy enforcement—ensuring compliance and reducing risk.
High Infrastructure Costs Without Optimization
Overprovisioned resources and inefficient architectures drive up cloud costs unnecessarily.
HSO Solution: Apply cost optimization strategies including rightsizing, reserved capacity, and performance tuning—reducing infrastructure expenses while maintaining performance.
Engineering Data Platforms for the AI Era
Modern data engineering is the foundation for successful AI adoption. Organizations cannot deploy effective AI solutions, from predictive analytics to generative AI assistants like Microsoft Copilot—without clean, integrated, and well-governed data.
HSO engineers data platforms specifically designed to support AI workloads. We ensure data quality meets machine learning standards, establish pipelines that feed models in real-time, and implement governance frameworks that enable responsible AI deployment. Whether preparing your organization for Copilot, building custom AI applications, or operationalizing machine learning models, our data engineering services create the infrastructure that makes AI initiatives successful.
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