Data Pipelines

Data pipelines — build it, harden it, ship it

Ingestion — normalization — storage — outputs, with reliability built in.

Prepaid blocks. USD pricing. Bank transfer or USDC (Ethereum/Arbitrum). 30-day rollover.

Engagement

  • Scheduled blocks: $180/hour
  • Initial block: 10 hours prepaid ($1,800)
  • Urgent tiers: 1.5× / 2.0× / 2.5×
  • Urgent minimum: 5 hours prepaid

What you get

  • Source ingestion (API/scrape/files) + normalization
  • Storage (Postgres/SQLite/S3) + exports (CSV/JSON) or API
  • Retries, dedupe, idempotency basics (as scoped)
  • Runbook: run, recover, monitor

How we run

  • Kickoff confirmation (scope + access + first tasks)
  • Daily updates (or every 4 hours worked)
  • 80% checkpoint before consuming the full block

Typical requests

  • API/scrape ingestion + incremental sync
  • Data cleanup: normalization, dedupe, backfills
  • Exports: CSV/JSON, db views, or a small internal API
  • Operational hardening: retries, alerting, runbooks

Trust & working style

Start

  1. Send a short problem description (2–5 sentences) + sample data or links.
  2. I’ll confirm scope for the first block + timeline + payment details.
  3. Work starts after payment clears / confirms on-chain.

FAQ

What stacks do you work with?
Commonly: Python/Node, Postgres, S3, Docker, cron/queues, and cloud basics. If you have a specific stack, include it in the first email and I’ll confirm fit.
Can you improve an existing pipeline without rewriting it?
Yes. Typical quick wins: better retries, dedupe keys, incremental sync, and a minimal runbook so ops is predictable.
Do you do scraping?
Yes (where permitted). If scraping is involved, include target URLs, expected volumes, and any constraints (rate limits, proxies, legal/compliance requirements).
How do payments work?
Prepaid blocks in USD. Bank transfer or USDC (Ethereum/Arbitrum). Hours roll over for 30 days.