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Data engineering& BIservices.

Clean pipelines and dashboards executives trust — not another conflicting spreadsheet.

Fix your data stack
PYTHON·SQL·AIRFLOW·POWER BI·TABLEAU·AWS·PYTHON·SQL·AIRFLOW·POWER BI·TABLEAU·AWS·PYTHON·SQL·AIRFLOW·POWER BI·TABLEAU·AWS·

Every department has a different number for revenue, churn, or inventory. Reports take days to compile. You know data matters — but you don't trust what you're looking at.

What we do

How we approach this service from discovery through handover.

We connect your sources (CRM, billing, ads, ops tools), clean and load them on a schedule, and build dashboards in Power BI or Tableau with definitions everyone agrees on.

Measurable benefits

Real delivery signals — not marketing fluff. What clients typically see after we ship.

01

1

Trusted KPI set — same revenue, churn, and pipeline numbers in every meeting.

02

Nightly

Or hourly refreshes so ops teams act on recent data, not last month's export.

03

6–8 weeks

Typical time to first pipeline plus executive dashboard with 2–3 core metrics.

Common use cases

Typical problems we solve for teams in this space.

  • Merge sales, marketing, and finance data into one warehouse.
  • Give executives a Monday-morning dashboard that updates automatically.
  • Prepare clean datasets for AI or forecasting projects downstream.

Tech stack

Technologies we reach for most often on engagements like this.

PythonSQLApache AirflowPower BITableauAWSPostgreSQLRedshift

Frequently Asked Questions about Data Engineering & Business Intelligence

Do we need a data warehouse or a data lake?
Most teams use both over time: a lake for cheap raw storage, a warehouse for fast BI queries. We start with what you need now, not a giant upfront platform.
Can you use our existing Power BI or Tableau licenses?
Yes. We model data for the tools you already pay for and train your analysts to maintain dashboards.
How do you prevent wrong numbers in dashboards?
Validation at ingest, reconciliation checks against source systems, and a written definition for every metric.
What if our data is messy or siloed?
That's the norm. Discovery maps sources, gaps, and priority metrics — then we fix the highest-impact pipeline first.
How much does a BI project cost?
A first pipeline plus executive dashboard is often a mid five-figure engagement. Larger warehouse programs are phased with clear milestones.
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