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Pipelines, warehouses & analytics

Data Engineering & Analytics Services

Turn raw events into decisions — reliable pipelines, clean warehouses and dashboards that answer questions in seconds.

Reliable
Tested pipelines
Real-time
Or batch
Self-serve
BI dashboards

What we do

We build the plumbing that turns scattered data into trustworthy answers — ingestion pipelines, a clean warehouse, transformation models and the dashboards on top. Whether it's batch ETL, real-time streaming, or a dbt-modelled warehouse on Snowflake or BigQuery, we make the data reliable, documented and fast to query, so your team stops arguing about numbers and starts using them.

Capabilities

Data Pipelines

Batch and streaming pipelines that ingest from apps, databases and third-party APIs — reliably and on schedule.

Warehousing

Modelled warehouses on Snowflake, BigQuery or Postgres, structured for fast, cheap analytics.

Transformation (dbt)

Version-controlled, tested dbt models so business logic is transparent and reproducible.

Real-Time Streams

Kafka-based streaming for event data that needs to be acted on in seconds, not hours.

BI & Dashboards

Dashboards and embedded analytics that give stakeholders answers without a data-team ticket.

Data Quality

Tests, monitoring and alerting so bad data is caught before it reaches a dashboard.

Tech we use

PythonSQLdbtApache KafkaAirflowSnowflakeBigQuerySparkPostgreSQL

Frequently asked questions

What does a data engineering project involve?+

Typically: connecting your data sources, building pipelines to move and clean the data, modelling it in a warehouse, and putting dashboards or APIs on top so people can use it. We scope to your highest-value question first.

Which warehouse should we use?+

It depends on scale and budget — we work with Snowflake, BigQuery and Postgres and recommend the right fit rather than defaulting to the most expensive option.

Can you do real-time analytics?+

Yes — for event data that needs immediate action we build streaming pipelines (e.g. Kafka); for reporting, scheduled batch is usually simpler and cheaper. We match the approach to the need.

How do you keep data trustworthy?+

Automated tests on transformations, freshness and quality checks, and alerting — so broken or stale data is caught before it misleads a decision.

Other things we build

Have a project in mind?

Tell us what you’re building. We’ll scope it with you and give an honest answer on timeline and cost.

Start the conversation