Data engineering Aws Plus Azure Data Factory Integration Project

I need to stand up a robust data-integration workflow in Azure and would like you to build it entirely in Azure Data Factory. Source systems include a mix of SQL databases and a few flat files in blob storage; the goal is to orchestrate reliable, reusable pipelines that ingest, map, and land this data in a curated layer ready for downstream analytics.

Your task covers designing the overall pipeline logic, setting up linked services, crafting parameter-driven datasets, and implementing any necessary transformations in mapping data flows. Monitoring, alerting, and basic cost-control settings should be baked in from the start so the solution is production-ready.

Because experience is crucial here, please draw on previous ADF projects you have delivered—think specifics such as incremental loads, schema drift handling, or CI/CD deployment through Git integration.

Deliverables I expect:
• End-to-end Azure Data Factory pipelines with reusable parameterization
• All supporting JSON / ARM templates or ARM-linked Git repo for version control
• Brief documentation explaining pipeline logic, trigger schedules, and failure-recovery steps
• A short handover session (recorded call or written walkthrough) so my team can operate the solution confidently

We will agree on milestones for design sign-off, build, and final acceptance once we start. Looking forward to seeing how your ADF expertise can bring this integration together smoothly.