Data Warehousing
Modern cloud data warehouses and lakehouses — Snowflake, Azure Synapse, BigQuery, and Databricks.
One Source. Every Question.
A modern data warehouse is the spine of every BI, AI, and reporting initiative. Pro Lens designs, builds, and operates cloud-native warehouses that scale elastically, govern centrally, and integrate with every business system you run.
From dimensional modelling to medallion architecture, from dbt to Databricks Delta — we deliver platforms ready for analytics, ML, and embedded products.
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What We Build & Operate
Snowflake
Multi-cluster warehouses, secure data sharing, Snowpark, and Cortex AI — implementation and managed operations.
Azure Synapse & Fabric
Dedicated SQL pools, serverless, Fabric OneLake — end-to-end Microsoft-native data platform.
Google BigQuery
BigQuery warehouses, BI Engine acceleration, BigQuery ML, and federated queries on Google Cloud.
Databricks Lakehouse
Delta Lake, Unity Catalog, MLflow, and Databricks SQL — unified analytics and ML on a lakehouse.
dbt & Modelling
Dimensional, Data Vault, and medallion architectures implemented in dbt — version-controlled, tested, documented.
Migration & Modernisation
Lift legacy Oracle, Teradata, SAP BW, and on-prem warehouses to cloud — with parallel-run validation.
Why Choose Our Data Team
Multi-Platform Certified
SnowPro, Azure Data Engineer, Google Professional Data Engineer, and Databricks-certified consultants.
Cost-Aware Architecture
We design for elasticity AND for FinOps — your warehouse bill stays predictable as data volume grows.
Data Governance Baked In
Lineage, masking, RLS, audit logging, and regulatory data residency from day one.
Operate or Hand Over
Optional managed services or full enablement — your team takes over with confidence.
Frequently Asked Questions
Warehouse, lake, or lakehouse?
Warehouses excel at structured analytics; lakes handle raw and semi-structured data; lakehouses (Databricks, Snowflake) combine both. We pick based on workload mix, governance, and cost.
How do you handle data quality?
dbt tests, Great Expectations, and platform-native quality monitors — every pipeline ships with row counts, freshness, uniqueness, and referential integrity checks.
Can you migrate our legacy warehouse?
Yes. We migrate from on-prem Oracle, Teradata, SQL Server DW, and SAP BW to Snowflake, Synapse, BigQuery, and Databricks — preserving schema, ETL, and reports.
How do you manage cost on consumption-based platforms?
Workload separation, warehouse auto-suspend, query optimisation, materialised views, and clustering keys — plus FinOps reviews to prevent runaway costs.
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