Data Engineering

Data Engineering

Reliable pipelines so data is fresh when dashboards and models need it.

FAMA engineers ingest from apps, ads, ERP, and files into Snowflake, BigQuery, Databricks, or Fabric — with monitoring and recovery built in.

What we deliver

  • Pipeline design & ETL/ELT
  • Orchestration (Airflow, dbt)
  • Data modelling
  • SLAs & alerting
  • Cost optimisation
  • Documentation

How we work

  1. 01.Discover & scope

    We align on the business outcome, users, constraints, and what success looks like before design or code starts.

  2. 02.Design & build

    UX, engineering, and QA move in parallel with reviews you can see — on the devices your customers use.

  3. 03.Launch & stay

    Go-live includes handover docs and support options. FAMA can remain on hosting, releases, and optimisation.

Revolutionizing your digital presence through engineering and craft

FAMA engineers ingest from apps, ads, ERP, and files into Snowflake, BigQuery, Databricks, or Fabric — with monitoring and recovery built in.

Broken pipelines silently lie. We alert before the CEO’s Monday report is empty.

FAMA

Tell us the outcome you need. FAMA will propose a stack you can actually run.

A short brief is enough — we reply with scope, team shape, and a first milestone.