Data Engineering & Business Intelligence
Turn your raw data into your strongest competitive advantage. We architect modern data stacks that ingest, clean, and visualize terabytes of information in real-time, giving executives instant clarity for rapid decision-making.
What we build
- Modern Data Lake & Cloud Data Warehouse (Snowflake, BigQuery)
- Automated ETL / ELT Data Pipelines (dbt, Airflow)
- Interactive Real-Time Executive Dashboards (Power BI, Tableau)
- Customer 360 & Predictive Lifetime Value Modeling
- Stream Processing with Apache Kafka & Apache Flink
- Data Governance, Quality Verification & Lineage
What you receive
- Production ETL pipelines with automated scheduling
- Live interactive business dashboards with custom KPIs
- Data catalog and architecture documentation
- Automated alerting for metric anomalies
Technology stack
Common questions
How long does a Data Engineering & Business Intelligence project take?
A typical project takes 3 - 8 Weeks. The exact timeline depends on your scope and is confirmed in the proposal.
What does it cost?
Projects start from $3,000. You receive a written quotation after a discovery call, and you can get a quick figure from our cost estimator.
What will I receive at the end?
Production ETL pipelines with automated scheduling. Live interactive business dashboards with custom KPIs. Data catalog and architecture documentation. Automated alerting for metric anomalies.
Who owns the code and the work?
You do. Source code, designs and documentation are transferred to you as set out in the project agreement.
Do you support the product after launch?
Yes. Every project includes a 90-day warranty for defects, and you can continue with a maintenance and support plan after that.
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Have a project in mind?
Tell us what you want to build. We will come back with a clear scope, timeline and cost.