Big data at enterprise scale
Daily work with SQL and Python over Snowflake, AWS and Databricks — measurement, troubleshooting and custom reporting on datasets belonging to Fortune 500 accounts, not tutorial-sized samples.
Practice 04
Numbers someone is willing to sign
Scattered exports turned into dashboards and scheduled reporting — with the metric definitions agreed before the first chart is drawn, and the queries handed over so anyone can check the work.
Standard engagement record
- Entry point
- Technical assessment
- Duration
- 2 weeks
- You receive
- Findings + roadmap
- Commitment after
- None
- Working languages
- EN / ES
Scope agreed in writing before work begins.
The problem
Two people, two dashboards, two different truths
The most expensive meeting in any company is the one that starts by arguing about whose number is right. It usually happens because nobody ever wrote down what the metric means — does a sale count when it is invoiced, when it is paid, or when it ships?
Tooling does not fix that. Definitions do. The dashboard is the last step, not the first, and it is only as trustworthy as the agreement underneath it.
Scope
What this includes, and what it does not.
Stated before you ask, so the first call is about your problem rather than about what we do or do not cover.
Included
- Data pipelines and orchestration (Airflow), cleaning and consolidation across sources
- Data warehousing and modelling (Snowflake, dbt)
- Operational dashboards, scheduled reporting and business intelligence
- Metric definitions agreed with the business, with the queries handed over
Not included
- Real-time streaming platforms at web scale
- Buying or brokering third-party data
- Conclusions the sample size cannot support
How it runs
Four steps, in this order.
01
Agree the definitions
Before any tooling: what each metric means, which source is authoritative, and who signs off when they disagree.
02
Consolidate the sources
Pipelines that pull, clean and reconcile automatically, so the reconciliation stops being somebody's Friday.
03
Build what gets used
One dashboard people open daily beats twelve nobody remembers. We start with the decisions you actually make each week.
04
Hand over the queries
Every number comes with the query that produced it. If we disappear tomorrow, your team can still audit and extend the work.
Track record
The experience behind this practice
Measurement against published standards
Campaign measurement work assessed against IAB and MRC standards, covering viewability, invalid traffic and suitability. When a metric has to survive external scrutiny, the definition matters more than the chart.
Formally trained, not self-taught only
Certified in Databases for Data Scientists (University of Colorado Boulder) and Python (Pontificia Universidad Católica de Chile), on top of a Mechatronics engineering degree.
Pipelines, warehouses and BI that run on their own
The team's data engineering builds the layer under the dashboard: orchestrated pipelines (Apache Airflow), a warehouse modelled with Snowflake and dbt, and the business intelligence on top — so the numbers stay reliable and refresh without someone rebuilding them by hand each week.
Questions
Answered before you have to ask.
Which tools do you build dashboards in?
Whatever your team already has a licence for and knows how to use. If there is nothing in place, a lightweight web dashboard you own outright avoids adding a subscription to maintain.
Our data is messy. Do we need to clean it first?
No — that is part of the work. Messy data is the normal starting point, and the cleaning rules get documented so the mess does not silently come back.
Can you tell us what the data means, not just show it?
Yes, within what the data can actually support. Where the sample or the collection method does not justify a conclusion, you will be told that instead of being handed a confident chart.
How does this differ from the automation service?
Automation is about removing manual work from a process you already understand. This practice is about making the numbers themselves trustworthy. They pair well, and the assessment tells you which one should come first.
Start here
Tell us what is broken, slow or expensive.
Describe the problem in a few lines. You get a written reply with a first read on it, whether or not there is an engagement in it. The message is sent from this page — no email client, no third-party form service, no trackers.