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ETL Consulting

Design, build, and modernize production-grade ETL pipelines that move data reliably across systems.

SaaS CompaniesOperations-Heavy BusinessesAnalytics Departments

Overview

Extract, Transform, Load remains the backbone of every analytics practice and every operational integration. We design ETL systems that are idempotent, observable, and cheap to run — whether you’re moving from a spreadsheet to your first warehouse or replacing a legacy Kettle PDI estate with a modern Airflow + dbt + Snowflake stack.

Reference Architecture

ETL Consulting

Engagement Model

Typical engagements run 6–16 weeks and follow a discover → design → build → harden → handoff cadence. We embed alongside your team rather than operating in isolation, so the knowledge stays in-house when we leave.

What's Included

  • Source-system audit and ingestion strategy
  • Idempotent, replayable transformation pipelines
  • Data quality validation and observability hooks
  • Legacy ETL (Kettle PDI / Pentaho) migration to a modern stack
  • Production runbooks, on-call documentation, and team handoff

Technologies

  • Snowflake
  • Databricks
  • PostgreSQL
  • Apache Airflow
  • dbt
  • Python
  • Kettle PDI

Related Services

  • Data Pipeline Modernization

    Replace fragile cron jobs and legacy ETL with declarative, observable pipelines on Airflow and dbt.

  • Data Integration Services

    Connect disparate systems into a unified data ecosystem — APIs, streaming, master data, and cross-platform sync.

  • Analytics Engineering

    Turn raw warehouse data into trusted, well-modeled datasets that analysts, executives, and downstream apps can rely on.

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