Unified lakehouse platforms on Delta Lake, Apache Iceberg, or Hudi — giving you the flexibility of a data lake with the reliability and governance of a warehouse.
Production-grade transformation pipelines with dbt, Airbyte, Fivetran, or custom Spark/Flink — fully tested, documented, monitored, and ready for your team to own.
Event-driven data architectures using Kafka, Kinesis, and Flink — delivering sub-second data availability to every downstream system that needs it.
Automated lineage tracking, schema management, access controls, and data quality scoring using DataHub, Atlan, or Great Expectations — so your data is trustworthy, not just available.
Snowflake, BigQuery, and Redshift — architecture reviews, clustering strategies, materialisation policies, and cost optimisation that can halve your warehouse bill.
Federated ownership with domain-oriented data products, self-serve infrastructure, and federated governance — eliminating the central data team bottleneck at scale.
End-to-end pipeline monitoring, freshness SLAs, anomaly detection on data quality metrics, and automated incident alerting — so broken data never reaches a dashboard.
Legacy warehouse migrations from Oracle, Teradata, and Hadoop to Snowflake, Databricks, or BigQuery — structured, validated, and delivered with zero business disruption.
Unified lakehouse platforms on Delta Lake, Apache Iceberg, or Hudi — giving you the flexibility of a data lake with the reliability and governance of a warehouse.
Production-grade transformation pipelines with dbt, Airbyte, Fivetran, or custom Spark/Flink — fully tested, documented, monitored, and ready for your team to own.
Event-driven data architectures using Kafka, Kinesis, and Flink — delivering sub-second data availability to every downstream system that needs it.
Automated lineage tracking, schema management, access controls, and data quality scoring using DataHub, Atlan, or Great Expectations — so your data is trustworthy, not just available.
Snowflake, BigQuery, and Redshift — architecture reviews, clustering strategies, materialisation policies, and cost optimisation that can halve your warehouse bill.
Federated ownership with domain-oriented data products, self-serve infrastructure, and federated governance — eliminating the central data team bottleneck at scale.
End-to-end pipeline monitoring, freshness SLAs, anomaly detection on data quality metrics, and automated incident alerting — so broken data never reaches a dashboard.
Legacy warehouse migrations from Oracle, Teradata, and Hadoop to Snowflake, Databricks, or BigQuery — structured, validated, and delivered with zero business disruption.
A structured approach that delivers reliable results – from first conversation to production.
Everything you need to know about our Data Infrastructure services.