We modernize monolithic on-prem legacy databases and data warehouses by migrating to Azure-native services like Azure SQL, PostgreSQL, Cosmos DB, Databricks, or Microsoft Fabric, depending on performance, compliance, and global access requirements.
This shift reduces query latency, eliminates licensing complexity, and improves reliability, availability, and resilience while reducing operational overhead.
We design and implement scalable enterprise data lakehouses on Azure Data Lake Storage Gen2 and OneLake, centralizing fragmented structured, semi-structured, and unstructured data assets from ERP, CRM, IoT, and external sources.
This enables consistent, secure, and performant access to raw and curated data for advanced analytics, regulatory reporting, or AI training pipelines across your enterprise.
Enable real-time operational dashboards, predictive analytics, and AI-powered reporting with Azure Synapse Analytics, Microsoft Fabric, and Power BI.
We help you reduce report generation times and enable business users to access insights on demand—whether it's factory-level KPIs in manufacturing, store-level sales trends in retail, or customer transaction trends in BFSI.
We implement and optimize Azure Databricks environments for big data processing, machine learning model training, and AI deployment - improving data engineering speed, model training, and pipeline reliability.
This includes CI/CD for ML, workspace governance with Unity Catalog, and integration with Fabric, Azure Databricks, Azure OpenAI, Synapse Analytics, and OneLake/Data Lake.
Orchestrate, transform, and automate ETL/ELT pipelines using Azure Data Factory and Event-Driven Architectures, reducing reliance on manual data wrangling and improving data freshness for analytics and AI use cases.
For example, automatically ingesting and transforming POS, inventory, or sensor data for near real-time visibility.
Implement enterprise-wide data governance with Microsoft Purview, enabling data discovery, classification, lineage, and access control to support compliance and secure data usage.
This is critical for regulated industries and organizations operating across multiple geographies. We help you enforce consistent policies for PII, GDPR, and internal controls while improving data transparency for business users and customers.
Reduce total cost of ownership across your Azure data ecosystem by right-sizing storage, optimizing compute usage, and automating scaling policies.
We apply FinOps principles across services like Data Lake, Fabric, Synapse Analytics, Databricks, and Cosmos DB, helping data leaders maintain performance while controlling spend—especially in high-volume environments like supply chains, retail analytics, or sensor-heavy operations.
Transform legacy systems into cloud-native, high-performance applications.
Whether migrating to the cloud, going multi/hybrid-cloud, or optimizing existing infrastructure, we help you re-architect, containerize, and optimize workloads for cloud-native applications that enhance performance, security, and cost-efficiency; while providing fast, responsive experiences.
Optimize containerized applications with Azure Kubernetes Service (AKS).
We help deploy, scale, and manage microservices efficiently, reducing infrastructure complexity and deployment times.
Leverage .NET, Microsoft’s development framework, seamlessly integrated with Azure.
As a Microsoft Solutions Partner, we specialize in .NET Core, ASP.NET, and cloud-native architectures, ensuring 40% faster development cycles and fully optimized performance within the Microsoft ecosystem.
