Automation & Data Pipelines
SignalOps + Market Intelligence Pipeline
A research/qualification stack for ingesting evidence, normalizing it, preserving provenance, deduplicating records, ranking opportunities, and exporting deterministic downstream state.
Verified evidence
- SignalOps: typed contracts, deterministic ranking, stable IDs, permission-safe escalation, transaction boundaries, immutable events, CLI packaging, smoke coverage.
- SignalOps offline verification: 11 unit tests + smoke + compile.
- Market Intelligence Pipeline: provider-neutral contracts, strict Pydantic normalization, bounded retries, malformed-payload rejection, ingestion provenance, deduplication, source isolation, deterministic exports.
- Market Intelligence Pipeline offline verification: 13 tests + smoke + compile.
Mechanisms
PythonPydanticdata normalizationprovenancededuplicationrankingstructured exportsworkflow state
Claim boundary
Fixture/offline behavior is verified. Live provider credentials, live scraping/platform behavior, and commercial outcomes are not implied.
Best-fit client work
- research automation
- data extraction
- market intelligence
- lead qualification
- API workflows
Source code
This portfolio package intentionally does not invent per-repository URLs. Open GitHub profile. Add a direct repository link here once the exact public repo URL is confirmed.