Capabilities / Data Engineering

The foundation everything
else stands on.

Dashboards lie when pipelines leak. Models drift when data arrives late. Get the foundation wrong and nothing above it holds. We build the layer underneath, across AWS, Azure, and GCP.

Our Offerings

Comprehensive Data Solutions

Real-Time Pipelines & CDC

From source change to downstream decision, in milliseconds.

We build streaming pipelines that capture every insert, update, and delete the moment it happens, so your warehouse, your dashboards, and your agents are never looking at yesterday's truth.

What we deliver:
  • Cloud-native streaming pipelines on AWS, Azure, or GCP
  • Debezium-based CDC across Postgres, MySQL, MongoDB, SQL Server, Oracle
  • In-flight validation and schema evolution without downtime
  • Dead-letter queue design with automated replay
  • Exactly-once delivery guarantees where it matters

ETL / ELT Development

Raw data is a liability. We turn it into an asset teams trust.

Most pipelines are held together by tribal knowledge and Slack threads. Ours are modular, tested, documented, and incremental by default — so refreshes are cheap, failures are loud, and lineage is never a mystery.

What we deliver:
  • dbt models with enforced testing and CI/CD
  • Spark-based transformations on AWS, Azure, or GCP
  • Data quality contracts that fail loudly, not silently
  • Orchestration on Airflow, Dagster, or native cloud services
  • Auto-generated documentation your analysts will actually read

API & SaaS Ingestion

Your data lives in forty tools. We bring it home—reliably, completely and on time.

Salesforce, HubSpot, Stripe, Zendesk, NetSuite, internal APIs, partner feeds. Every source has its own quirks, rate limits, and failure modes. We've seen them all and designed around them.

What we deliver:
  • Airbyte deployments and custom Python connectors where off-the-shelf falls short
  • Bespoke API integrations with retry, backoff, and idempotency built in
  • Incremental extraction logic that handles pagination, cursors, and time windows correctly
  • Schema drift detection with automated alerting
  • Full audit trails for every row ingested

Data Modelling & Architecture

The shape underneath decides the speed above.

A well-designed model answers questions in milliseconds. A bad one requires a data engineer every time marketing asks about last quarter. We design schemas for how your business ought to think.

What we deliver:
  • Kimball dimensional modelling with conformed dimensions
  • Star and snowflake schemas optimised for your query patterns
  • Slowly changing dimensions (Type 1, 2, and hybrid) done right
  • One Big Table and wide-table patterns where they outperform joins
  • Partitioning, clustering, and materialisation strategies tuned to your workload

Automation & Monitoring

Pipelines that watch themselves and speak to you before your users do.

The worst data incidents are the silent ones. We instrument every pipeline with freshness checks, volume anomaly detection, and SLA tracking, so problems surface on your dashboard, asap.

What we deliver:
  • SLA-based alerting with noise suppression that actually works
  • Freshness, volume, and distribution monitors on every critical table
  • Cost observability dashboards (per-pipeline, per-team, per-query)
  • Automated retry, backfill, and recovery workflows
  • Runbooks your on-call engineer will thank you for

Warehouse & Lakehouse Build-Outs

Greenfield or migration — we deploy storage that scales without surprises.

Whether you're building your first warehouse or moving off one that's buckling under its own cost, we design for the next five years, not the next quarter. Open formats, clear governance, predictable bills.

What we deliver:
  • Cloud-native warehouse implementations on AWS, Azure, or GCP
  • Open lakehouse architectures on Apache Iceberg, Delta Lake, or Apache Hudi
  • Multi-cluster and multi-workload optimisation
  • Cost governance frameworks with chargeback and showback
  • Role-based access control, row-level security, and audit logging
  • Cross-cloud migration playbooks (AWS ↔ Azure ↔ GCP)

Metadata & Catalogue Management

Data nobody can find is data nobody uses.

Your warehouse has ten thousand tables. Your analysts use forty. The other 9,960 are merely tech debt. We make every asset discoverable, understood, and owned, so trust scales with volume instead of collapsing under it.

What we deliver:
  • Open-source catalogue deployments (DataHub, Amundsen, OpenMetadata)
  • Native catalogue integration across AWS, Azure, and GCP
  • Automated metadata harvesting across sources
  • Business glossaries aligned to how your teams actually speak
  • Column-level lineage and impact analysis
  • Usage analytics that surface orphaned and duplicate assets
Tech Stack

Tools & Technologies

AWS Redshift AWS S3 AWS Glue AWS DMS GCP BigQuery GCP Dataflow Snowflake dbt Airflow Kafka Databricks Delta Lake Apache Iceberg Dagster Spark
What Sets Us Apart

Expertise Built on Global Scale

01

Production scale, not POC scale.

300M+ events/day streamed, 100 Mbps sustained throughput. 600+ notebooks migrated with zero downtime. Whatever "big" means in your stack, we've shipped bigger.

02

Built for the agent era.

Every pipeline ships with a semantic layer and sub-200ms query latency — ready for dashboards and LLM agents from day one.

03

Configurable and cost-effective.

Modular architectures you can tune to your workload. Open formats, transparent compute, and cost governance baked in — so your bill scales with value, not vendor lock-in.

04

We own the outcome.

Hundreds of governed metrics, full KPI catalogues, and column-level lineage on every engagement. "Done" means your team can extend it without calling us back.

05

Your hard problem, already solved.

Cross-cloud migrations across AWS, Azure, and GCP. Schema drift, multi-currency normalisation, data-availability lags, and the other gotchas nobody warns you about.

06

Clean handover, always.

Zero proprietary frameworks. Zero black boxes. Readable, tested, version-controlled code your team owns the day we leave.

Ready to scale?
Let's talk about what's breaking.
Book a 30-minute diagnostic call. We'll discuss where your current pipelines are hitting limits and what modern architecture could look like for your stack.