Build a Data Platform
Your Teams Can Actually Use
Slow pipelines, unreliable data and siloed tools are preventing your organisation from making data-driven decisions at speed. ZippyOPS designs and builds modern data platforms — reliable, governed and scalable from day one.
What We Build
We implement a modern data stack covering ingestion, transformation, orchestration and serving — with automated data quality, observability and governance baked in throughout.
- Data platform architecture design — lakehouse, warehouse or hybrid, tailored to your use case
- Data ingestion pipelines with Fivetran, Airbyte, Kafka and custom connectors
- Data transformation with dbt — version-controlled, tested and documented models
- Pipeline orchestration with Airflow, Prefect or Dagster
- Data quality automation — automated testing, anomaly detection and SLA alerting
- Data catalogue and lineage with OpenMetadata, DataHub or Collibra
- Self-service analytics layer — Metabase, Superset or Looker on top of your warehouse
What You'll Walk Away With
A production-grade data platform with automated ingestion, transformation and quality checking
dbt-powered transformation layer with tests, documentation and version control
Data observability dashboard — pipeline health, data freshness and quality scores
Self-service analytics capability enabling business teams to query data without engineering support
Ready to Modernise Your Data Platform?
Book a free data platform assessment. We'll review your current stack and design a target architecture for reliable, scalable data at your organisation.