- Data Services

Data that
works
for you.

Pipelines, warehouses, real-time streaming, and BI dashboards - we build the data foundation that turns raw events into decisions your business can act on.

10B+

Records / day

<200ms

Streaming latency

5→1

Data sources unified

⚡ 2.4M rows/sec

Data Pipeline

Sources
DatabasesAPIsFilesStreams
Ingest
KafkaKinesisFivetranAirbyte
Transform
dbtSparkAirflowGlue
Warehouse
SnowflakeBigQueryRedshiftDatabricks
Visualise
LookerTableauMetabasePower BI
end-to-end latency~180ms p99

- Data Maturity Model

Where are you today?

We assess your current data maturity and build the roadmap to get you to level 5.

L1

Reactive

Manual reports, spreadsheets, gut-feel decisions

L2

Descriptive

Dashboards exist but lag behind, hard to trust

L3

Diagnostic

You can ask why - but it takes days to answer

L4

Predictive

Models forecast outcomes; teams act proactively

L5

Prescriptive

Automated decisions; data drives every product action

- Our Services

What we build

Build the foundation

Data Engineering

Reliable, scalable data pipelines that move data from every source to wherever it needs to go - in real-time or batch.

  • ETL / ELT pipeline design & build
  • Real-time streaming with Kafka & Kinesis
  • Data lake & lakehouse architecture
  • Pipeline monitoring & data quality SLAs

Tools & Platforms

Apache Kafka

Apache Airflow

dbt

Fivetran

Airbyte

Spark

01 ──────

Data Pipeline Engineering

We design and build pipelines that move data reliably from every source - databases, APIs, event streams, flat files - into your warehouse or lakehouse. Built with observability and SLA alerting from day one.

  • Batch and real-time pipeline design
  • Schema evolution & backwards compatibility
  • Dead letter queues & retry logic built in
  • Pipeline observability with alerting

10B+

Records processed daily

02 ──────

Data Warehouse & Lakehouse

We architect and build data platforms on Snowflake, BigQuery, Databricks, or Redshift - structured to scale from your first 10 GB to petabytes without re-platforming.

  • Warehouse sizing & cost modelling
  • Medallion architecture (Bronze / Silver / Gold)
  • Partitioning, clustering & query optimisation
  • Disaster recovery & point-in-time restore

PB

Scale from day one

03 ──────

Real-Time Streaming

When batch isn't fast enough. We build streaming architectures with Apache Kafka, AWS Kinesis, and Google Pub/Sub - delivering sub-second data availability for fraud detection, personalisation, and operational analytics.

  • Event-driven architecture design
  • Kafka cluster setup & management
  • Stream processing with Flink / Spark Streaming
  • Exactly-once delivery guarantees

<200ms

End-to-end latency

0+

Data projects delivered

0B+

Records processed daily

0+

Data sources integrated

0%

Pipeline reliability

- Let's Talk Data

From raw data
to real decisions.

Tell us where your data lives and what you need to know. We'll scope the architecture and show you what's possible.