At Data Intence, we help organizations unlock the full potential of their data using modern lakehouse architecture powered by Databricks and Microsoft Azure. Our Databricks Practice is designed to deliver scalable, high-performance data platforms, enabling advanced analytics, machine learning, and real-time insights.

Our Capabilities

1. Databricks Implementation & Deployment

  • End-to-end Databricks environment setup
  • Workspace configuration and governance
  • Secure and scalable architecture design

2. Data Engineering & Lakehouse Development

  • Build robust data pipelines (batch & real-time)
  • Data ingestion from multiple sources
  • Delta Lake implementation and optimization
  • Data transformation (Bronze, Silver, Gold layers)

3. Azure + Databricks Integration

  • Seamless integration with Azure Data Services
  • Azure Data Factory, Synapse, and ADLS integration
  • Cloud-native data platform modernization

4. AI & Machine Learning Solutions

  • ML model development and deployment using Databricks
  • MLOps and model lifecycle management
  • Predictive analytics and AI-driven insights

5. Data Migration & Modernization

  • Legacy data warehouse migration to Databricks
  • ETL to ELT transformation
  • Performance tuning and cost optimization

6. Resource Augmentation (Staffing)

  • Databricks-certified Data Engineers
  • Azure Data Engineers and Architects
  • AI/ML Engineers
  • Flexible engagement models (contract, project-based)

Why Data Intence?

✔ Specialist Data & AI Expertise

We focus exclusively on data engineering, analytics, and AI solutions.

✔ Faster Time-to-Value

Pre-built accelerators and best practices to reduce implementation time.

✔ Scalable Delivery Model

Flexible staffing and consulting approach to meet dynamic project needs.

✔ Enterprise Focus

Experience supporting large-scale data transformation programs.

Our Approach

  • 1. Discover & Assess - Understand your current data landscape
  • 2. Design - Architect scalable Databricks-based solutions
  • 3. Build - Develop pipelines, models, and integrations
  • 4. Deploy - Ensure secure and efficient production rollout
  • 5. Optimize - Continuous improvement and performance tuning

Use Cases

  • Customer 360 & Personalization
  • Real-time analytics dashboards
  • Fraud detection and risk analytics
  • Data platform modernization
  • AI-driven business insights

Let’s Build Your Data Future

Partner with Data Intence to accelerate your Databricks journey and transform your data into a strategic asset.

Planning a Databricks cloud migration or looking to optimise your existing Databricks environment? Let's talk.

Get In Touch →