Batch pipelines
Scheduled ETL/ELT from SaaS tools, databases and files into a warehouse you can query with confidence.
What we build · 07
Data engineering
Data work succeeds when analysts and operators trust the numbers. We build pipelines that survive schema changes, late-arriving events and the question someone asks six months after launch.
Capabilities
What we deliver
Real-time streaming
Event buses, change-data-capture and stream processing for ops dashboards and fraud signals.
Data modelling
Dimensional models, metrics layers and documentation so everyone uses the same definitions.
BI & self-serve
Dashboards in Looker, Metabase or Power BI that answer Monday-morning questions without a ticket.
Data quality
Contracts, freshness checks and anomaly alerts before bad data reaches a board deck.
Governance
Row-level access, PII masking and lineage tracking for NDPR and internal audit.
How we build it
Stack and standards
We instrument upstream first — if the source is unreliable, no amount of dashboard polish fixes it. Every pipeline ships with monitoring and an owner.
dbt
Airflow
Snowflake
BigQuery
Kafka
Fivetran
Metabase
Related disciplines
Often built together
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