SAM.gov Opportunities Enrichment Pipeline

Python pipeline for collecting public opportunity records and enriching them with PSC/NAICS-style classification context for reporting.

Public Data WorkflowClient engagement - Selected workSolo

SAM.gov Opportunities Enrichment Pipeline

System architecture

Architecture / Flow

The practical path from source data to reliable reporting output.

Collection

Python scripts collect public opportunity records and detail pages from source endpoints/pages.

Enrichment

PSC and NAICS-style taxonomy helpers add classification context for search and reporting.

Loading

Cleaned opportunity records are prepared for BigQuery-style destination tables.

Validation

Counts, duplicates, taxonomy coverage, and destination rows are checked after refreshes.

Project Overview

Built a public-data enrichment pipeline that collected opportunity records and added classification context so the resulting dataset was easier to search, classify, and report on. The work includes extraction, description/detail helpers, PSC/NAICS-style processing, and BigQuery-oriented loading patterns.

Key Challenges

Public records needed enrichment before they were useful for search and reporting
Classification joins could miss records or create stale categories
Duplicate records and changing descriptions needed validation
Filters and destination details needed clear ownership and validation

Results & Impact

Built extraction and enrichment scripts for opportunity-style records
Added PSC/NAICS-style classification helpers
Prepared output for a warehouse or dashboard destination
Defined validation around counts, taxonomy coverage, duplicates, and destination rows

Technology Stack

PythonpandasrequestsBeautifulSoupBigQueryJSONClassification Data

Project Details

Industry:Public Data Enrichment

Duration:Client engagement

Team Size:Solo

Completed:Selected work

Have a similar data workflow?

If your reporting process depends on APIs, spreadsheets, ad platforms, or asynchronous exports, I can help turn it into a reliable pipeline with validation, monitoring, and clean outputs.