Benjamin C.

I build reliable data pipelines and automation tools, especially API integrations and ETL workflows that turn messy inputs into clean, usable outputs. I'm strongest using Node.js (which I can also use to make database-backed web APIs), and am also proficient with Python and C++. If you need data pulled from a service, cleaned/validated, transformed into a consistent schema, and delivered as a dataset or report-ready format, I can help. I take a pragmatic, evidence-driven approach to data. You could put it like this: measure twice, cut once - with confidence. Work should be structured and reproducible: clear config/CLI workflows, sensible logging, error handling, and outputs you can trust and run again later. What I can deliver: -API ingestion (auth, pagination, rate limits), data normalization, and exports (JSON/CSV/DB-ready) -ETL scripts and batch jobs for recurring workflows -Analytics feature generation (counts, aggregates, derived metrics) -Natural language processing, text analytics (sentiment/embeddings), clustering, and visualization/reporting as needed How I work: Step 1: Define the deliverable + success criteria Step 2: Implement ingestion + validation + transformation Step 3: Add guardrails (as justified by the scope of the project) Step 4: Deliver a clean handoff with examples and next-step recommendations I'd love to work with you. To get started, send the data source(s), the desired output format, and any constraints (volume, rate limits, deadline, etc.)