Consulting & implementation
API & Workflow Automation
Turn a manual workflow or fragile integration into a controlled process, with validation, recovery, and a practical interface for the people using it.
For operations teams and product teams connecting APIs, spreadsheets, reports, payments, or devices.
Discuss your workflowDoes this sound familiar?
- People move the same files and update the same Sheets repeatedly.
- An integration fails when tokens expire, sources change, or syncs overlap.
- Backend events need to connect reliably to operational workflows.
What you receive
- A working integration or automated step with clear inputs and outputs.
- Authentication, entity mapping, and validation suited to the source.
- Rerun/recovery behavior and visibility into failures.
- Configuration, operating notes, and a handoff your team can maintain.
A focused first delivery
Start with one recurring task, one broken sync, or one backend workflow. Keep the existing tools where they work and automate the part that creates repeated effort or failures.
- Refresh a reporting Sheet from an API.
- Process recurring report attachments into a reporting table.
- Repair a webhook, scheduled sync, or payment-to-backend workflow.
Access and scope
A sample input/output, current steps or failures, API documentation and account access, and the operational rules for exceptions and ownership.
Pricing and delivery timing follow agreed scope and source access. Refresh frequency and historical coverage depend on the systems involved.
When the work needs to go deeper
Build API/backend workflows, operational control layers, queue-based processing, and cloud services. My wider experience includes AWS connected-device systems, telemetry aggregation, and authenticated application integrations.
Sheets can remain a useful control layer. Existing backend APIs can also be exposed through authenticated MCP read tools, giving a selected AI client access to the data the user is allowed to see.
Tools chosen around the problem
Node.js, TypeScript, Python, Apps Script, and cloud services. AWS IoT Core, Lambda, DynamoDB, SQS, and Cognito are relevant for backend and connected-device work.
Relevant work
Google Sheets and Apps Script Reporting Automation →
Automating recurring Sheets updates and document/report outputs while keeping configuration and validation understandable for the team.
Multi-Platform Ads Reporting Automation →
Google Ads, Meta Ads, LinkedIn Ads, and Bing/Microsoft Ads reporting automation into Google Sheets with platform-specific handling and validation.
AWS Connected-Device Backend & Telemetry →
Backend and telemetry engineering within an existing connected-device product: APIs, aggregation, recovery, and cloud performance work.
Commerce, Subscriptions & Acquisition Reporting Backend →
Payment and subscription workflows, acquisition metadata, and reporting APIs within the same connected-device product.
Practical reading
Use the prepared data through AI
The same reporting definitions or backend APIs can support questions in Claude or ChatGPT.
Find a useful starting point.
Share the problem and relevant systems. We can identify a manageable first output before agreeing a build.
Discuss your workflow