A modern data platform must support batch and streaming workloads, evolving schemas, and business agility. We build lakehouse and warehouse solutions aligned to the medallion architecture (Bronze/Silver/Gold) so raw data is refined into curated, performant tables with clear lineage and quality checks.
Our approach favors ELT where possible for efficiency and scalability while maintaining robust ETL patterns where governance or transformations demand it. Whether you’re standardizing on Microsoft Fabric, continuing with SSIS, or integrating Azure Data Factory, we deliver pipelines that are repeatable, observable, and cost‑effective.
Key Capabilities
Data Lake & Warehouse Architecture
Build scalable architectures for analytics and AI workloads using Microsoft Fabric, Databricks and SQL Server. We design connectors and landing zones that manage spikes, ensure back-pressure handling, and maintain ordering where it matters.
Transformations (ELT/ETL)
Design and implement efficient data pipelines for batch and real-time processing using Fabric notebooks/Spark SQL, SQL-based ops, or SSIS modernization patterns. We standardize reusable modules, enforce naming conventions, and ensure transformations are testable and versioned.
Orchestration & Scheduling
Coordinate dependencies and retries with Fabric Data Factory/Databricks jobs. We define SLAs/SLOs, implement alerts, and provide runbooks so operations teams can self-serve and recover from transient failures quickly.
Streaming & IoT
Build real-time pipelines with Event Hubs (Kafka-compatible) and Stream Analytics. We design stateful processing where needed, maintain exactly-once semantics when feasible, and expose live KPIs for operational awareness.
Lakehouse & Warehouse Performance
Optimize Delta/Parquet layouts, partitioning, and Z‑Order strategies. We tune file sizes, caching, and query plans so BI/AI workloads run consistently at scale.
Advanced Analytics Enablement
Prepare your data for Power BI dashboards, predictive models, and AI-driven insights.
Cloud & On-Prem Integration
Connect disparate systems across Azure, Microsoft Fabric, Databricks and hybrid environments.
Data Quality & Governance
Implement frameworks to maintain data accuracy, consistency, and compliance throughout the integration process.
Performance Optimization
Ensure fast, reliable data movement with minimal latency.
Key Benefits
Reliable Data Flow
Ensure uninterrupted and secure movement of data across systems, reducing downtime and operational risk.
Improved Data Quality
Eliminate silos and inconsistencies with robust validation and governance frameworks.
Faster Time-to-Insight
Enable real-time analytics and reporting, accelerating decision-making and business agility.
Scalability & Flexibility
Architect solutions that grow with your business, supporting both cloud and on-premises environments.
Cost Optimization
Reduce infrastructure and operational costs through efficient resource utilization and automation.
Future-Ready Architecture
Prepare your data ecosystem for advanced analytics, AI, and machine learning with Microsoft Fabric, Databricks, and Power BI integration.