Everything V4 Data And AI Solutions delivers, in one place
Services, process, capabilities and industry expertise — the complete picture of how V4 Data And AI Solutions modernizes enterprise data platforms end-to-end.
Core end-to-end data engineering services we deliver
From migration to modernization, from real-time streaming to governed AI-ready lakehouses — we deliver end-to-end execution, not just advice.
Data Integration & Cleansing
Consolidate data from multiple disjointed structured and unstructured sources into a single governed view. dbt transformations, cleansing and validation are built into every pipeline layer.
- Multi-source data integration with ADF, Fivetran, dbt
- Structured and unstructured harmonization
- Data cleansing and standardization
- dbt tests for data quality validation
Data Governance & Security
Implement enterprise governance across Azure, Snowflake, Databricks and Microsoft Fabric with column-level access controls, RBAC, RLS, CLS, automated lineage tracking, and PII masking built in from day one.
- Unity Catalog & Purview implementation
- Role-based access control & CLS/RLS
- PII classification and data masking
- Data lineage tracking with dbt docs + Purview
AI & ML Infrastructure
Build scalable data foundations for AI, ML, and GenAI workloads at enterprise scale including real-time pipelines, governed data catalogs, and feature stores on Databricks and Microsoft Fabric.
- AI-ready data platform design
- Real-time pipelines for model serving
- Governed data catalogs for AI consumption
- GenAI infrastructure on Databricks & Fabric
Data Pipeline Development
Design and build scalable ETL and ELT pipelines across structured and unstructured sources, handling multi-terabyte data volumes on Azure, AWS, Fabric and Databricks using Spark, dbt and cloud-native frameworks.
- ETL / ELT pipeline development
- dbt-based SQL transformation pipelines
- Batch and real-time stream processing
- Multi-source data ingestion
Data Warehouse & Lakehouse
Architect and implement cloud-native data warehouses and lakehouse environments on Databricks, Snowflake, Synapse and Microsoft Fabric, unifying batch analytics, streaming, and ML workloads on a single governed platform.
- Warehouse design and dimensional modeling
- Delta Lake & Medallion Architecture
- Batch and streaming unification
- dbt models for gold-layer analytics
Cloud Migration & Modernization
Migrate legacy platforms including on-premise SQL Server, Teradata, and Hadoop environments to modern cloud-native targets across Azure, AWS, Snowflake, Databricks and Microsoft Fabric.
- Legacy platform assessment & roadmap
- On-premise to cloud migration
- Snowflake ↔ Databricks migration
- Metadata-driven migration frameworks
Every platform, in motion
Distinct live animations for the exact platforms V4 Data And AI Solutions engineers every day — from Databricks processing and Snowflake warehouses to ADF orchestration, Power BI dashboards, and Microsoft Fabric unification.
Real tools. Real outcomes. In motion.
An animated view of the platforms V4 architects and optimizes every day — with the measurable outcomes we’ve shipped across Microsoft Fabric, Databricks, Snowflake and Synapse.
Faster query execution on Microsoft Fabric OneLake
Reduction in data scanned (Fabric)
Lower compute consumption on Fabric Warehouse
Snowflake credit reduction via query & cluster tuning
Databricks Delta Lake runtime reduction (20→4 min)
Enterprise data governed with 100% audit compliance
Multi-cloud sources unified into OneLake
Years engineering enterprise data platforms
Purpose-built expertise on Microsoft Fabric OneLake
Microsoft Fabric consolidates Data Factory, Synapse Data Warehouse, Data Engineering, Real-Time Intelligence, Data Science and Power BI into a single SaaS. We architect and optimize the whole stack end-to-end.
OneLake Lakehouse
Bronze / Silver / Gold Medallion Architecture on OneLake with Delta Lake, adaptive Liquid Clustering and predicate pushdown.
Fabric Data Factory
Metadata-driven pipelines, dataflows Gen2, and reusable parameterized templates for enterprise ingestion.
Fabric Warehouse
SQL analytics endpoints, dimensional modeling, and workload-tuned compute for BI + analytics at scale.
Real-Time Intelligence
KQL databases, event streams and Reflex actions for sub-second operational analytics.
Unity across analytics
Governed access, lineage and PII masking across Fabric with Purview + workspace-level RBAC.
dbt on Fabric Warehouse
dbt-fabric adapter for versioned transformations, tests and docs on the Fabric SQL endpoint.
How we deliver enterprise data engineering
A proven six-stage delivery model that goes from discovery to scale — designed for measurable outcomes at enterprise complexity.
Discover
Deep-dive assessment of data sources, platforms, SLAs, governance posture and cost baselines.
Design
Reference architecture on Databricks / Snowflake / Fabric with Medallion, dbt, governance and DevOps blueprints.
Build
Engineer ETL/ELT, real-time streams, warehouses and lakehouses with dbt models and automated testing.
Govern
Unity Catalog, Purview, RBAC, RLS/CLS, PII masking and audit-ready lineage baked in.
Optimize
Continuous performance engineering, cost governance and query tuning across every layer.
Scale
Enablement, self-service data products and roadmap for AI/GenAI-ready workloads.
Our best data engineering services
and capabilities
Migrate data faster, better, and cost-effectively
- Migrate data seamlessly from legacy systems to modern platforms.
- Ensure data integrity and security throughout the process.
- Minimize downtime and disruption with phased cutovers.
Data engineering solutions by industry
Every industry has unique data complexity. Our services are tailored to your sector’s regulatory, operational, and analytical requirements.
CPG
Consolidate fragmented data from supply chain, retail syndicated sources and consumer touchpoints. Enable demand forecasting, trade promotion optimization and revenue growth management with AI-ready data.
Discuss Your Use CaseChoose an engagement that fits your journey
From a rapid architecture assessment to fully managed platform engineering, we adapt to where you are on your data journey.
Advisory & Architecture
Fixed-scope engagement to assess your platform, produce a target-state architecture and prioritized roadmap.
Build & Deliver
End-to-end project delivery — pipelines, warehouses, lakehouses, migrations — with clear milestones and outcomes.
Managed Data Platform
Ongoing engineering, optimization and governance for your data platform on a monthly retainer.
Platforms and tools we use for enterprise data engineering
Secure, large-scale data infrastructure using leading cloud platforms, modern data warehouses, and enterprise orchestration tools.