Data Engineering
Data pipelines and dashboards
your team can trust.
Warehouses, streaming pipelines and dashboards that turn raw events into decisions people trust.
What we deliver
What SoftMIVIX's Data Engineering service includes
We build the pipelines, warehouses and dashboards that turn raw events into numbers your team trusts — modelled once, tested, and documented so every report agrees.
- Data warehouse design and setup
- Batch and streaming pipelines
- Data modelling with tests and documentation
- Dashboards and self-serve reporting
- Data quality monitoring and alerts
- Product and marketing analytics tracking
How it runs
Three steps, each with something you can see
- Step 1
Audit
Inventory sources and the questions you need answered.
- Step 2
Build
Pipelines and models delivered in tested increments.
- Step 3
Enable
Dashboards plus training so teams self-serve.
Questions
Data Engineering: what people ask first
Yes. It usually means the same metric is calculated in several places. We model each metric once, test it, and point every dashboard at that single definition.
If you join data from several tools, or reporting slows down your production database, usually yes. If not, we will say so and keep it simpler.
Snowflake or BigQuery for the warehouse, dbt for models, Airflow or Kafka for pipelines, and Power BI or Metabase for dashboards — or whatever you already run, if it is working.
Start with a conversation, not a contract
Thirty minutes on a call and you will know whether we are the right fit. If we are not, we will say so.
Book a 30-minute call