Data warehouses, ETL pipelines, and BI dashboards built for decision-makers, not just data engineers. From raw event streams to the executive dashboard - all connected, reliable, and fast enough to answer questions in real time.
Dashboard refresh
Pipeline uptime
Data processed daily
Where data projects fail: Most data projects don’t fail on the technology - they fail because nobody agreed upfront on which business questions the data needs to answer. We run a data strategy workshop before any pipeline is built.
Snowflake, BigQuery, or Redshift - data warehouse architecture designed around your business questions, not database normal forms. Dimensional modelling, star schema, and a data model that your analysts can query without a data engineer on the call.
dbt-powered transformation layers, Airflow-orchestrated pipelines, and Fivetran or custom connectors for all your source systems. Data tested at every step.
Power BI, Looker, Tableau, or Metabase - dashboards built for the people who make decisions, not for the people who built the data model. We run user research sessions with your executives.
Apache Kafka, AWS Kinesis, and Apache Flink for event-driven data architectures where seconds matter. Real-time fraud detection, live inventory updates.
Data catalogues, lineage tracking, quality testing, and access controls - the governance layer that makes your data trustworthy.
The data layer that powers your AI models - feature stores, training data pipelines, and model serving infrastructure.
Tell us where your data lives and what decisions you’re trying to make. We’ll map the architecture and show you what’s possible.
Start your data projectFirst conversation is with a senior engineer in this practice - honest assessment, no sales script.
NDA available before any conversation - countersigned within 24 hours.