ETL (Extract, Transform, Load) and ELT pipelines are the automated workflows that pull data from your source systems, clean and structure it, and deliver it to your data warehouse or downstream applications. We build pipelines that run on schedule, handle errors gracefully, and scale with your data volume.
Connect to APIs, databases, flat files, webhooks, SaaS platforms, and streaming systems. We handle authentication, pagination, rate limits, and incremental extraction so you only pull what is new.
Data is validated, deduplicated, typed, and reshaped into your warehouse schema. Business logic is applied here: currency conversions, status mappings, calculated fields, and joins across sources.
Cleaned data lands in your warehouse, data lake, or downstream application. Loading is idempotent (safe to re-run), partitioned for performance, and logged for auditability.
Shopify, WooCommerce, Magento, BigCommerce. Orders, products, inventory, customers, and fulfillment data.
Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads. Spend, impressions, clicks, conversions, and ROAS.
GA4, server-side analytics, and custom event tracking. Sessions, funnels, attribution, and user behavior.
Salesforce, HubSpot, Kustomer, Zendesk. Leads, tickets, customer interactions, and lifecycle data.
SAP, Business Central, custom ERP systems. Transactions, inventory, logistics, and financial data.
REST and GraphQL APIs, SFTP file drops, webhooks, CSV and Excel imports, database replication.
Tell us your source systems and where the data needs to go. We will build the automated pipelines that move it reliably.