Azure services we specialize in
- Azure Databricks – our core platform: Apache Spark, Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks SQL warehouses and Mosaic AI for machine learning.
- Microsoft Fabric – OneLake, Lakehouse and Warehouse items, Data Factory pipelines, Real-Time Intelligence and Power BI in one SaaS platform.
- Azure Data Factory – orchestration and ingestion from on-premises databases, SaaS applications, APIs and files.
- Azure Data Lake Storage Gen2 – secure, cost-effective storage for raw and curated data.
- Azure Synapse Analytics – dedicated and serverless SQL pools, and migration paths to Databricks or Fabric.
- Azure Event Hubs & Stream Analytics – real-time ingestion of events, logs and IoT data.
- Azure SQL Database & Cosmos DB – operational databases that feed and consume the platform.
- Microsoft Purview – data catalog, lineage, classification of sensitive data and governance policies.
- Power BI – semantic models, dashboards and self-service analytics for the business.
What we can do for you
- Data platform from scratch – a lakehouse on Azure Databricks or Microsoft Fabric with the medallion architecture: raw data in bronze, cleaned and conformed data in silver, business-ready tables in gold.
- Data warehouse migration – moving on-premises SQL Server, Oracle, Teradata or legacy Synapse workloads to Databricks or Fabric, with validation of every table and report.
- ETL / ELT pipelines – reliable, tested ingestion and transformation with Data Factory, PySpark, Spark SQL and dbt, including incremental loads and change data capture (CDC).
- Real-time analytics – streaming pipelines with Event Hubs and Spark Structured Streaming for monitoring, alerting and live dashboards.
- Data governance & quality – Unity Catalog and Purview for access control, lineage and auditing; automated data quality rules and data contracts.
- BI & reporting – a single source of truth in Power BI, with clear KPIs and a semantic layer the business can trust.
- Data for AI – feature tables, vector search and clean, documented datasets that make AI solutions possible.
Our offer
- Data assessment (1–2 weeks) – review of data sources, current tools, costs and pain points; target architecture and roadmap.
- Platform foundation – Databricks or Fabric workspaces, networking, identity, Unity Catalog and CI/CD, all as Infrastructure as Code with Terraform.
- First use case end-to-end – from source systems to a Power BI dashboard in weeks, to prove value early.
- Scale & operate – DataOps: monitoring, cost optimization (FinOps), cluster and SQL warehouse tuning, and ongoing support.
Why it pays off
- One version of the truth – the same numbers in every report and department.
- Lower costs – pay-per-use compute and cheaper storage instead of oversized on-premises servers.
- Faster decisions – data refreshed in minutes, not overnight, and self-service analytics without waiting for IT.
- Ready for AI – governed, high-quality data is the foundation every AI project depends on.
