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Data Engineering & Integration

Build a Modern, Trusted Data Foundation

Connect systems, unify data, and power analytics with enterprise-grade pipelines and cloud platforms.

Why Data Engineering & Integration Matters

Today’s organizations rely on connected, reliable data to power everything from decision-making to AI innovation. Without integrated systems, governed pipelines, and scalable infrastructure, data becomes a barrier to progress instead of a strategic asset.

Our Capabilities

Modern Architecture

Design scalable data platforms for BI and AI. We leverage semantic modeling, Azure Synapse, and lakehouse patterns to support analytics and machine learning use cases.

System Integration

Unify data and applications across cloud-native, hybrid, and legacy systems using Azure Integration Services. With Logic Apps, Service Bus, and API Management, we deliver scalable, real-time connectivity and orchestration for both operational and analytical needs.

Data Pipelines

Build trusted ETL/ELT workflows in Azure Data Factory, Fabric, Databricks, and Python. Implement real-time and event-driven pipelines with Azure Event Grid and orchestration via Logic Apps.

BizTalk to Azure Migration

Modernize legacy BizTalk Server environments by migrating to Azure-native integration platforms. We assess, plan, and execute phased migrations using Azure Integration Services to unlock greater flexibility, scalability, and long-term maintainability.

API Enablement & Governance

We design and build secure, scalable APIs, whether hosted or cloud-native, using .NET Core and Azure services. Our team applies API-first development with REST and GraphQL, leveraging microservices to deliver modular, high-performance architectures. We manage the full API lifecycle via Azure API Management and implement robust security with OAuth 2.0, Azure Entra External ID, and role-based access control (RBAC).

Data Quality & Ops

Ensure trusted data delivery with robust observability and validation practices. We leverage Microsoft Purview, Azure Monitor, and custom monitoring frameworks to enable data lineage, alerting, and automated reconciliation. Our approach follows emerging best practices for data reliability, pipeline health, and operational excellence.

Platforms & Tools

Ready to Build a Data Backbone That Scales?

Let’s align on your goals and architect the next phase of your data strategy together.

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