Data Services · Data Engineering

Data engineering for SMEs: data that arrives on its own

We build and maintain the pipelines that bring data from your ERP, CRM, e-commerce, APIs and ad platforms into your data platform. Every day, with no manual exports, and a check at every step.

Sound familiar?

When refreshing data is a job in itself.

  • Someone spends time every day downloading files and loading them into reports.
  • When a vendor changes an API or format, the reports break and nobody notices.
  • Data arrives late, incomplete or duplicated.
  • Nobody knows exactly where a number comes from.
What we build

Robust pipelines, monitored daily.

Source connectors

ERP, CRM, e-commerce, shared files, APIs, GA4, Google Ads, Meta Ads and LinkedIn Ads.

ETL/ELT pipelines

Automated extraction, transformation and loading, on a schedule or near real time.

Monitoring and alerts

Daily checks: if a pipeline stops, we know before you do.

Change management

When APIs, schemas or systems change, we adapt the pipelines without breaking your reports.

Traceability

For every number you know which source it came from and how it was transformed.

Costs under control

Pipelines optimised to use only the resources they need on the cloud platform.

A concrete result

One client spent 45 minutes every day downloading and refreshing data in Power BI. With Microsoft Fabric and a lakehouse the refresh became automatic: today that time is zero.

About 3.75 hours a week given back to a single person
How we work

From the first call to numbers that stay current.

  1. 01 · 30 minutes, free

    Free consultation

    We understand your systems, reports and priorities, tell you honestly whether and how we can help, and which package makes sense for you.

  2. 02 · typically 6–12 weeks

    Build

    We map the sources, build the pipelines with quality checks and connect them to the data platform. Even the first project can start directly on a monthly package.

  3. 03 · ongoing

    Ongoing management

    With a monthly package we monitor the platform, step in when something breaks and keep developing it with you.

The first consultation is free. Same pricing for everyone, every project tailored: see the monthly packages.

Our Clients

What they say about us.

Ermilani Consulting jumped in quickly and made a meaningful impact on our work.

Scott Sanders VP Of Business Intelligence · Carbone Fine Food

They came onboard for a time-sensitive project and delivered brilliantly — clear communication, sharp problem-solving, high-quality output.

Chris Mendez CEO · Parallel Analytica

An excellent partner. Thoughtful, helpful, and genuinely invested in our success.

Steve Fox Founder & Principal · Infosly

True experts. They deliver exactly what they commit to, solve problems fast, and are a pleasure to work with.

Simon Bahad CEO · 1Itech
Tools

Solid technology, no lock-in.

We use the native tools of the chosen platform and standard languages, so the pipelines stay maintainable by others too.

  • Microsoft Fabric
  • Data Factory
  • Snowflake
  • SQL
  • Python
  • REST APIs
  • GA4
  • Google Ads
  • Meta Ads
  • LinkedIn Ads

A good fit if

  • Your data is refreshed by hand today, with downloads and exports.
  • You have many different sources, internal and external.
  • Your reports break when something changes in the source systems.
  • You want reliable data every morning without thinking about it.

Not a fit if

  • You need a new ERP: we connect and get value from the systems you have.
  • You need operational integration between applications (e.g. website orders to the warehouse): that is a different job from analytics.
FAQ

Data engineering: common questions.

What does a data engineer do for an SME?

They build and maintain the flows that bring data from your business systems into the analytics platform, automatically, with checks and documentation. It is the work that makes dashboards and management control reliable.

What do ETL and ELT mean?

They are two ways of moving data: ETL transforms data before loading it, ELT loads it and then transforms it inside the platform. On modern platforms like Fabric and Snowflake, ELT is often simpler and cheaper.

Can you connect GA4 and the ad platforms too?

Yes. We connect GA4, Google Ads, Meta Ads and LinkedIn Ads and combine their data with sales and CRM, for example for ROAS dashboards.

What happens if a pipeline breaks?

With a monthly package we monitor the pipelines daily and fix issues ourselves, with response times defined in the contract.

How much does it cost?

Pricing is the same for everyone: three monthly packages, with €1,000 off per month for the first 12 months. Even the first project can start directly on a monthly package. See the packages on the homepage.

Insights

Let's talk for 30 minutes.

A free introductory call: we understand where you are starting from and tell you honestly whether and how we can help.