%20(1)_edited.png)
Empowering businesses
with secure, scalable data engineering solutions.
Data Modernization
From legacy systems to modern cloud-native platforms.
Ascadis specializes in transforming outdated systems into cutting-edge architectures.
Migrate, automate, integrate, and scale — all with one.
We Modernizing legacy systems, building scalable cloud pipelines, and enabling real-time insights for your business.
Secure Architecture
Enterprise-grade data pipelines with strong governance and compliance.
-
Unified governance with Azure Purview + Fabric OneLake security.
-
Secure Databricks Lakehouse with Unity Catalog & RBAC.
-
End-to-end data protection using Key Vault + Private Endpoints + VNET.
-
Full auditability via Azure Monitor, Fabric activity logs & log analytics.
Scalable
Data Solutions
Built to grow with your business using modern cloud-native tools.
-
Auto-scaling Databricks Photon and job clusters for heavy workloads.
-
High-performing Fabric Lakehouse (Delta + OneLake) for unified storage.
-
Seamless orchestration using ADF pipelines + Fabric Data Factory.
-
Multi-layer architecture (Ingest → Lakehouse → Warehouse → Power BI).
Real-Time Insights
Faster access to your business metrics for smarter decision-making.
-
Event-driven pipelines using Event Hub + DLT + Structured Streaming.
-
Fabric Real-Time Intelligence for operational dashboards.
-
Millisecond processing using Databricks stream processing jobs.
-
Real-time visuals through Direct Lake + Power BI.
Cost-Optimized Systems
Reduce cloud spend with efficient pipelines and smart automation.
-
Job clusters + Spot VMs reduce Databricks cost by up to 40%.
-
Fabric Direct Lake eliminates data duplication & refresh cost.
-
Delta compression, partitioning & Z-ordering reduce storage spend.
-
Auto-pause, auto-scale & pipeline optimization for best cost-performance.
Industries we Serve
Partnering with businesses in diverse sectors to unlock new avenues for growth and innovation.
Manufacturing -
Production planning, supply chain optimization, and real-time quality analytics for efficient operations.
Our Process
01
Requirement Gathering
We understand the business flow, data needs, and KPIs.
-
Identify data sources & schemas
-
Capture business rules & transformations
-
Define KPIs and output formats
-
Validate requirements with stakeholders
02
Sprint Planning
We convert requirements into clear, actionable sprints.
-
Create sprint backlog & prioritize tasks
-
Estimate effort and assign owners
-
Plan for DEV → SIT → PROD
-
Define acceptance criteria
03
Development
We build scalable pipelines using modern cloud-native tools.
-
ADF pipelines for ingestion & orchestration
-
Databricks notebooks for ETL/ELT
-
Delta Lake layers (Bronze → Silver → Gold)
-
Fabric Lakehouse & Warehouse setup
-
Git integration with branching strategy
04
Testing & Validation
We ensure accuracy, reliability, and performance.
-
Unit testing for each pipeline
-
DQ checks: completeness, accuracy, schema validation
-
UAT with business teams
-
Load & performance testing
05
Production Deployment
We deploy stable code using CI/CD automation.
-
Azure DevOps CI/CD pipelines
-
Job cluster creation & autoscaling setup
-
Scheduling daily/real-time triggers
-
Publish Power BI / Fabric models to PROD
06
Monitoring, Alerts & Production Support
We maintain smooth operations with automated alerts.
-
Automated email alerts for failures
-
Databricks job alerts
-
ADF pipeline alerts via Logic Apps
-
Daily monitoring & cost optimization
-
Monthly enhancements & CR support
Explore DataShift™
DataShift™ is a high-performance migration frameworkdesigned to transition data from legacy environments to modern cloud-native architectures. It automates extraction, transformation, validation, and loading to ensure accuracy, consistency, and zero disruption to your business operations.
