LuppiStack
Prepaid expert hours for the Microsoft Azure data platform: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Purview, and lakehouse architecture design and implementation.
About LuppiStack
The Microsoft Azure data platform has converged rapidly — from siloed services into Microsoft Fabric's unified SaaS experience. Organisations that invested in Azure Synapse, Azure Data Factory, and Azure Databricks over the past five years now face a migration decision, while organisations starting fresh have to navigate an ecosystem of overlapping capabilities to make sound architectural choices. LuppiStack provides the practitioner expertise to do both well.
Our engineers have built production lakehouses on the Medallion (bronze/silver/gold) architecture using Delta Lake on Azure Data Lake Storage, Azure Databricks, and Microsoft Fabric OneLake. We implement Azure Data Factory pipelines for complex ingestion scenarios — incremental loads, CDC patterns, API-to-lake ingestion, and SAP integration. For analytics engineering, we work with Azure Synapse dedicated and serverless SQL pools, Synapse Spark, and Fabric notebooks and dataflows. Where governance is required, we integrate Azure Purview for data cataloging and lineage.
Engagements are structured around specific deliverables: a lakehouse foundation build, a pipeline migration from SSIS or Informatica to ADF, a Synapse-to-Fabric migration roadmap and execution, or a Databricks environment hardening review. Hours are logged per session, reviewed by you, and only deducted after confirmation. The result is a clean, documented data platform your team can operate and extend without ongoing dependency on external consultants.
Common use cases
What's covered
Microsoft Fabric
workspace design, OneLake architecture, Lakehouse, Warehouse, Data Engineering items
Azure Synapse Analytics
dedicated SQL pool design, serverless queries, Synapse Spark, Link for Dataverse
Azure Data Factory (ADF)
pipeline development, linked services, integration runtimes, monitoring
Azure Databricks
cluster configuration, Delta Live Tables, Unity Catalog, MLflow integration
Azure Purview
data map, scanning, lineage, classification (standalone and Fabric-integrated)
Lakehouse architecture
Medallion pattern, Delta Lake optimisation, Z-ordering, VACUUM policies
Data pipeline patterns
incremental loads, CDC via Debezium or ADF CDC, SCD Type 1/2
Data warehousing
dimensional modelling, star schema, distribution and indexing in Synapse
Infrastructure as Code
Bicep / Terraform for Azure data platform resources
Cost management
Databricks DBU optimisation, Synapse DWU autoscaling, ADF cost controls
Deliverables
- 1
Architecture diagram and design document — data flow, naming conventions, environment strategy (dev/test/prod)
- 2
Pipeline source code (ADF ARM templates / Databricks notebooks / Fabric items) committed to your repository
- 3
Infrastructure-as-Code templates (Bicep or Terraform) for reproducible environment provisioning
- 4
Data model documentation — entity definitions, grain, source-to-target mappings
- 5
Operational runbook — monitoring dashboards, failure alert procedures, SLA targets
- 6
Session logs and confirmed hour consumption report before deduction
How it works
How it works
Three steps from purchase to delivery — no surprises.
Buy hours
Choose a service line and a tier that fits your scope. Pay once — no retainer, no commitment beyond the block.
We deliver
Our senior practitioners get to work. Every session is logged in detail and submitted for your review before hours are touched.
Recharge
Running low? Top up instantly from the portal. Each recharge is a fresh block with its own 12-month validity.
Terms & Conditions
These terms govern all prepaid hour engagements with Luppiter Tech Solutions & Services Pvt Ltd.
Frequently asked questions
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