Microsoft Azure

We provide senior Azure Data Engineers and Microsoft Fabric Consultants who join your team to build, optimize, and maintain scalable data architectures. These specialists solve technical bottlenecks such as sluggish query performance in Azure Synapse Analytics, fragmented data silos, or complex ETL failures that stall downstream AI initiatives. You receive hands-on experts who take ownership of the data lifecycle, from ingestion to consumption.

Whether you need an Azure Solutions Architect to design a multi-region data estate or an Azure AI Engineer to integrate Large Language Models via Azure AI Foundry, we provide the specific technical profile required for your sprint goals. These experts do not just advise; they write the Spark code, configure the pipelines, and secure the infrastructure to ensure your data is ready for production workloads.

Our experts operate within the modern Microsoft data stack, utilizing tools like Azure Databricks for high-performance processing and Azure Cosmos DB for globally distributed NoSQL requirements. They implement Medallion architectures within Microsoft Fabric, ensuring data quality across Bronze, Silver, and Gold layers while maintaining strict GDPR and SOC2 compliance. The engineers integrate directly into your existing DevOps workflows, participating in daily stand-ups and reporting to your internal engineering leadership.

• Development using PySpark, SQL, and Kusto Query Language (KQL) for real-time analytics.
• Infrastructure as Code (IaC) using Terraform or Bicep to manage Azure resources.
• Data governance and lineage tracking using Microsoft Purview.
• Orchestration and automation via Azure Data Factory and GitHub Actions.

Digiventi bridges the gap between high-level consultancy and generic staffing by providing experts who have successfully delivered complex migrations and greenfield builds. We look beyond major tech hubs to find available Azure Databricks Consultants and Engineers who possess deep practical knowledge of Delta Lake and Lakehouse patterns. You interview every candidate we propose, ensuring their technical depth and team fit meet your standards before they begin work.

Our model focuses on delivery rather than documentation. While our experts provide strategic guidance on choosing between Azure Synapse and Fabric, their primary value lies in execution. They remain billable only for the duration of your project needs, providing a flexible way to scale your engineering capacity without the overhead of permanent hiring or the lack of accountability found in traditional outsourcing.

Engagement typically begins when internal teams face specific technical hurdles that threaten project timelines. You should consider bringing in a Digiventi expert in the following scenarios:

• Your migration from legacy SQL Server to Azure Synapse Analytics has stalled due to performance bottlenecks.
• You need to implement Microsoft Fabric but lack an in-house consultant to architect the OneLake environment.
• A mission-critical Azure Databricks cluster is incurring excessive costs and requires immediate optimization.
• Your AI roadmap requires an Azure AI Foundry Consultant to bridge the gap between raw data and model deployment.