Modern Data in Motion:
From Legacy to Leading-Edge
Data Engineering for the Cloud, Hybrid and On-Premises Strategies
Data is the lifeblood of modern enterprises, but its true value emerges only when it’s accessible, reliable, and primed for immediate use. However, the reality for many companies is that a fragmented data landscape, outdated systems, and inefficient data workflows hinder innovation adoption and lead to slow decision-making in the dark. Inconsistent data integration across cloud and on-prem environments leads to poor data quality and missed opportunities. Legacy platforms make things worse because they often lack the speed and flexibility needed for modern analytics.
Our Data Engineering lets you integrate the data flow from all your systems to enable advanced analytics, streaming analytics, and AI adoption. Whether you are running in the cloud, on-premises, or in a hybrid setup, we have the tools and expertise to make data work for you.
Scalefocus excels in modern solutions such as Data Lakehouses in the cloud, Snowflake, or classic Data Warehouses. Are you migrating your data to or from the cloud? We have the expertise to guarantee success.
Core Services
ELT pipelines with Azure Data Factory & Databricks
Real-time data streaming with Kafka, Snowpipe, and more
Data Mesh design and
implementations
Classical on-premises
or hybrid ETL designs
Batch and real-time data streaming & processing
DataOps with cloud and hybrid technology stacks
Cloud Data Platforms
We help enterprises harness the full potential of Azure’s native data services while integrating seamlessly
with third-party platforms like Snowflake for flexible, cross-cloud data architectures.
Azure Expertise
- Microsoft Fabric & OneLake – All-in-One Data Solutions
- Azure Synapse Analytics – Аnalytics & warehousing
- Azure SQL Database & Cosmos DB – Scalable, secure data stores
- Azure Data Lake Storage Gen2 – Centralized data lake foundation
- Azure Monitor & Log Analytics – Visibility & diagnostics
- Cloud Data Optimizations for tangible cost reduction & performance gains
Snowflake Integration
- Cross-platform data sharing and replication
- Seamless ELT pipelines using solutions like Azure Data Factory or Azure Databricks
- Multi-cloud analytics and workload optimization
- Performance tuning and cost governance
Cloud Data Storage & Integration
We design and implement complex Azure-based data lakes, built for mission-critical data operations worldwide, that unify structured and unstructured data for analytics, ML, and enterprise-wide consumption. Our integration approach ensures frictionless data flow across all sources and systems efficiently.
We also build hybrid and multi-cloud setups, with Snowflake as the central analytics engine over your Azure-based storage.
Data Streaming Solution Implementation
Our experts use Azure’s native services and open-source frameworks to bring real-time data architectures to life. From IoT telemetry to real-time analytics on sell out data in FMCG, we help you turn data into action the moment it’s generated. Our solutions scale with your needs, whether you’re monitoring systems, enabling dynamic pricing, or powering fraud detection.
Our Toolkit
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Why Scalefocus
Client Success Stories
From accelerating ESG initiatives and machine learning innovation for an iconic vehicle brand to boosting operational excellence in hospitality with modern data warehousing, our data engineering solutions help clients turn complex challenges into measurable success.
Driving ESG and ML Innovation via Data Solutions for Iconic Vehicle Brand
Increasing Operational Excellence in Hospitality With a Data Warehouse
Custom-Built Tool Digitalizes the Vessel Nomination Process for LNG Carriers
CPQ Transformation for US Technology Giant
Building an Event-Based Pipeline and Data Quality Framework in Energy Supply & Sales
