+1-888-661-8967 
sales@aismartz.com 
What We Offer
Modern Data Pipelines
Design and implement batch and streaming data pipelines using Fabric data pipelines, Azure Data Factory, Fabric EventStreaming, Azure Event Hubs and cloud-native services for real-time analytics.
Data Lake & Warehouse Architecture.
Build and manage scalable data lakes and data warehouses using platforms such as Fabric OneLake, AzureAzure Data Lake Storage Gen2 (ADLS Gen2),Azure Blob Storage,Azure Synapse and fabric Warehouse.
Ensure Trust & Compliance
Implement enterprise-grade security, audit trails, and policy enforcement throughout your data stack.
Future-Proof Architecture
Design data systems that evolve with your business—easily extendable to support new use cases and technologies.
Our Approach
AISmartz follows a modular, cloud-agnostic approach to data engineering focused on:
Reusable pipeline components
Accelerate builds with modular, repeatable pipeline elements.
Metadata-driven architecture.
Enhance automation and flexibility using metadata control.
Secure, role-based access
Protect data with granular, role-specific access controls.
Real-time data monitoring
Track data flows instantly for timely issue resolution.
Infrastructure-as-Code (IaC) for deployment consistency.
Ensure consistent, automated deployments across all environments.
Why Invest in Data Engineering?
Turn complex, siloed data into analytics-ready assets with minimal latency.
Build strong foundations for AI/ML models and business intelligence by ensuring clean, structured, and enriched data delivery.
Automate workflows and orchestrate pipelines for improved efficiency and lower maintenance.
Seamlessly operate across AWS, Azure, GCP, hybrid, or on-prem environments with flexible, containerized solutions.
Implement enterprise-grade security, audit trails, and policy enforcement throughout your data stack.
Design data systems that evolve with your business—easily extendable to support new use cases and technologies.
