ETL

Every day your Stripe account processes transactions, creates new customers, and tracks subscriptions, generating valuable data that could power better business decisions. Yet for most organizations, this payment intelligence remains...

Financial institutions face a critical challenge: transforming mountains of data from accounting systems, trading platforms, and banking applications into compliant reports, actionable risk insights, and strategic intelligence without drowning in...

Fintech data teams operate under a different set of constraints than most. Every pipeline that moves transaction records, customer PII, or risk model inputs has to satisfy a compliance team,...

To call the dbt Cloud API from an ETL pipeline and wait for job completion, you trigger the job by sending a POST request to dbt Cloud's run endpoint, capture...

To orchestrate multi-step ETL workflows with conditional failure branching, design a workflow graph where each task connects to both a success path and a failure path, configure what each path...

Your data integration team just asked: "Should we use MCP or REST APIs?" The answer is yes to both. With the ETL market reaching $10.24 billion in 2026 and projected...

Your organization invested heavily in a data warehouse, yet business users still wait days for answers to simple questions. The disconnect between where data lives and who needs it remains...

Data engineers spend 40-60% of their time on pipeline plumbing, writing boilerplate SQL, debugging transformation logic, and manually checking data quality across disparate systems. With the emergence of the Model...

The Model Context Protocol (MCP) is reshaping how data teams interact with their pipelines, but not all MCP implementations serve the same purpose. While Airbyte uses MCP primarily to give...