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Step 4: Orchestrate Your Pipelines

If you have a working ingestion + transformation setup, you are probably running dbt on a schedule — either dbt Cloud’s built-in scheduler, a cron job, or manually. That works until it doesn’t. Cron does not retry. It does not alert you when upstream data is late. It does not let you re-run a single failed model without re-running everything. Orchestration is the layer that makes your pipelines reliable. You add it when cron becomes a liability. ...

May 10, 2026 · 4 min · B K

Step 3: Transform Your Data with dbt

Raw data from your ingestion tool is not analysis-ready. Column names are whatever the source API called them. Booleans come in as integers. There are three different tables that all mean “customer”. The transformation layer is where you turn that mess into something your business can use. dbt (data build tool) is the standard here. You write SQL, dbt turns it into models, and those models are versioned, tested, documented, and repeatable. ...

May 10, 2026 · 3 min · B K

Step 2: Connect Your Data Sources

You have a warehouse. Now you need data in it. Ingestion is the EL in ELT — Extract from your sources, Load into your warehouse. The transformation comes later. The two tools that matter for startups are Fivetran and Airbyte. They solve the same problem differently. What you are actually doing Every SaaS tool your company uses — Salesforce, HubSpot, Stripe, Postgres, Zendesk — has an API. Ingestion tools connect to those APIs, extract the data on a schedule, and load it into your warehouse in a usable schema. ...

May 10, 2026 · 3 min · B K

Step 1: Choose a Data Warehouse

Your data stack starts here. Every pipeline, transformation, and dashboard feeds into a warehouse. Getting this decision wrong costs you a painful migration 18 months later. Getting it right means the rest of your stack falls into place. The three serious options for startups are Snowflake, BigQuery, and Redshift. Databricks is worth knowing about but overkill until you have a data engineering team. The three options Snowflake Snowflake is the default for a reason. It works with any cloud, separates compute from storage (so you only pay for queries when they run), and has the broadest connector and tool support in the ecosystem. dbt, Fivetran, Airbyte, Looker, Tableau — everything integrates with Snowflake first. ...

May 10, 2026 · 3 min · B K