DataOps

Data Engineering

Design, build, and optimise the backbone of your analytics ecosystem with scalable, cloud-native data engineering solutions.

Data Warehousing

Deploy high-performance, scalable data warehouses using platforms like Snowflake, BigQuery, or Redshift—tailored to your analytical needs.

ETL/ELT & Data Integration

Streamline data flows from multiple sources. Whether batch or real-time, we build ETL/ELT pipelines that ensure timely, accurate data delivery.

Data Lake & Lakehouse Architecture

Build modern, flexible data lakes and lakehouses that support diverse data formats, workloads, and analytics use cases.

Real-Time Event Streaming & Analytics

Implement real-time processing with platforms like Kafka, Spark, or Flink for time-sensitive insights and action.

Business Intelligence & Analytics

Enable better decisions with actionable dashboards, visualizations, and self-service analytics built on clean, trusted data.

Data Science & ML Support

Support the full model lifecycle—from training data pipelines to deployment and monitoring—in your preferred ML ecosystem.

Data Architecture

Lay a strong, scalable foundation for your data landscape—enabling consistent growth and adaptability.

Data Modeling

Design optimal data structures to power BI, analytics, and AI with clarity and performance.

Data Pipelines

Automate and manage pipelines that are reliable, observable, and easy to maintain—delivering data where it’s needed, when it’s needed.

Data Migration

Move your data to the cloud securely and efficiently, without losing integrity or breaking downstream dependencies.

Data Quality & Unification

Ensure data is accurate, consistent, and unified across sources—fostering trust in your insights.

Data Observability

Gain full visibility into how your data moves and transforms—helping you detect issues and ensure reliability.

Regulatory Compliance & Governance

Implement policies and controls that meet data privacy and security standards, including for AI governance.