Insighter Digital
Reliable data movement with observability built in

ETL & Data Pipelines

The plumbing that quietly holds a business together. Extract from anywhere, transform consistently, load somewhere queryable — with monitoring, lineage, and replay built in from day one.

Why us

Why teams pick us for ETL & Data Pipelines

The reasons clients usually keep us once the first scope ships.

  • Senior people only

    No bait-and-switch from your lead engineer in the pitch to a junior on day one. The people you scope with are the people who build.

  • Honest scoping

    We tell you what is in scope, what is not, and where the risks are — in writing, before you sign anything. Surprises kill projects.

  • Weekly demos, not big reveals

    You see real, running software every week. If a direction is wrong, you find out in week three, not week thirteen.

What's included

A ETL & Data Pipelines engagement, end to end

The work below is typical — we scope to the outcome, not a checklist.

  • Airflow / Dagster / Prefect pipelines
  • CDC and event-streaming (Kafka, Kinesis)
  • dbt for in-warehouse transformations
  • Pipeline monitoring and lineage
  • Backfills, replays, and schema migrations
How we work

How a ETL & Data Pipelines engagement runs

Three phases that bracket the work.

  1. 01

    Discover

    A working session to map the outcome, constraints, and the smallest thing worth shipping first. You walk out with a written scope, not a sales deck.

  2. 03

    Build

    Senior engineers in weekly sprints with live demos. You see progress every week — no surprise reveals at the end.

  3. 04

    Launch

    Production deploy, infra hand-off, runbooks, and team training. We stay on-call through the first traffic spike.

Related work

Data & Platform in practice

Projects in this pillar — the same skills that power a typical ETL & Data Pipelines engagement.

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    A CRM purpose-built for life-insurance comparison funnels

    A multi-tenant CRM with lead-routing, Google Ads OAuth integration, agent dashboards, and conversion analytics. Powers daily operations for our partner agencies.

    Daily active across multiple agency tenants

    • Engineering
    • Data & Platform
    • Commerce
    Visit live
  • 2025 · Confidential — fintech

    AI-augmented scraping pipeline replacing manual research

    Daily extraction across 40+ sources with LLM normalization and a review queue. Cut a 3-person manual research team to one reviewer per week.

    ~30 hrs/week of analyst time recovered

    • AI & Automation
    • Data & Platform
FAQ

Questions about ETL & Data Pipelines work

If you do not see your question, just ask. We will tell you straight whether we are the right fit.

Have a project? Let's scope it.

A 30-minute call, no slides. Tell us the outcome you need and we'll tell you what it takes to ship — honestly.