Skip to content
AI, Machine Learning & Data

Data Engineering

Build a reliable foundation for your data

Data pipelines, ETL/ELT workflows, data warehouses, database architecture and integrations that keep business data connected and usable.

Delivered with PostgreSQL Python SQL ETL/ELT pipelines data warehousing

Ask about data engineering

Tell us roughly what you need. A person who would work on it replies within one working day.

Analytics and AI both fail for the same reason: the data never arrives clean, on time, or at all. We build the pipelines underneath — extraction, transformation, scheduling, validation and alerting — so the layer above has something dependable to stand on.

What you actually get

Not a feature list — the things that will exist at the end of the engagement, and that you can hold us to.

  1. 01 Pipelines that alert when they fail instead of quietly producing nothing
  2. 02 Validation at ingest, so bad data is caught before it spreads
  3. 03 A warehouse structured for the questions you actually ask
  4. 04 Schemas and lineage documented rather than folklore
  5. 05 A written scope with a fixed first milestone before any code is written
  6. 06 Two-week increments, each ending in something you can actually use

Technologies we deliver this with

What we would reach for by default. If you already run something else and it is a reasonable fit, we work in that instead — the stack is a means, not a position.

  • SQL
    SQL
  • ETL/ELT pipelines
    ETL/ELT pipelines
  • PostgreSQL
    PostgreSQL
  • data warehousing
    data warehousing
  • Python
    Python

How the work runs

  1. 01

    Conversation

    We start with the problem, not a proposal — what is failing today and what it costs.

  2. 02

    Discovery

    We map the workflow that actually exists and agree the scope in writing.

  3. 03

    Build

    Two-week increments, each ending in something you can use rather than a status report.

  4. 04

    Harden

    Performance, security and accessibility passes before anything reaches your customers.

  5. 05

    Run

    Monitoring, backups and a named person who answers when something breaks.

Sectors we deliver this into

Where we have built data engineering before, and what each sector brings with it.

Swipe for more sectors →

Often taken together with

  • Web Development

    Modern websites, web applications, portals and business platforms engineered for performance, security and maintainability.

    Laravel PHP JavaScript Tailwind CSS

  • Mobile App Development

    High-performance mobile applications with reliable backends, third-party integrations and scalable architecture.

    Flutter Dart Kotlin Swift

  • Custom Software Development

    Custom applications, internal tools and business systems built around your workflows instead of forcing you into off-the-shelf software.

    Laravel PHP JavaScript MySQL

Talk to us about data engineering

Four fields. A real person reads it and replies within one working day.

info@devnainc.com

We reply within one working day.

Chat with us