Azure Data Integration & ETL Services

Data Connectivity at Scale

We connect to a wide array of data sources—from on-premises databases and SaaS applications to streaming IoT feeds and unstructured cloud storage. Using tools like Azure Data Factory, Synapse Pipelines, and Azure Integration Runtime, we automate ingestion from sources such as SQL Server, Salesforce, SAP, Oracle, flat files, APIs, and beyond.

Modern Architecture with Intelligent Orchestration

Leveraging event-driven architectures and data orchestration engines, we deploy pipelines that are:

• Modular and reusable
• Monitored with detailed lineage and logging
• Optimized through CI/CD automation and DataOps practices

This enables seamless movement of data across cloud and hybrid environments while maintaining visibility and control.

Real-Time Insights and Advanced Analytics Enablement

Data is only as valuable as the insights it enables. We integrate tightly with Azure Synapse, Power BI, and Azure Machine Learning to support downstream analytics and AI workflows. Whether you’re delivering dashboards or training models, our integrated pipelines fuel the right data at the right time.

Enterprise-Grade ETL & ELT Pipelines

Our solutions are built on robust ETL and ELT architectures that:

• Extract large and diverse datasets with high throughput
• Transform data using scalable data flows, mapping, cleansing, and enrichment
• Load into destinations like Azure Synapse Analytics, Data Lakes, Cosmos DB, or Power BI datasets

We architect for both batch and near-real-time ingestion using hybrid models that support Change Data Capture (CDC), streaming, and micro-batch workflows.

Active Metadata and Governance Integration

Our Azure data solutions are infused with rich metadata capture and lineage tracking, providing:

• End-to-end observability of data pipelines
• Impact analysis for schema changes
• Integration with enterprise data catalogs and governance frameworks

By aligning your integration landscape with your broader data strategy, we ensure your data is trusted, traceable, and compliant.