india-crop-price-pipeline patilaka · COMPLETED
Production-style end-to-end data pipeline processing large-scale mandi price data (Agmarknet) to identify commodity price volatility and shock events. Implements batch ingestion, distributed processing (Spark), warehouse optimization (BigQuery partitioning & clustering), and analytics-ready transformations (dbt).
github.com/patilaka/india-crop-price-pipeline · ★ 1 · Forks 0 · Size 27 KB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 7
Skips 0
COVERAGE
Analyzed 13 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
1 files · PRODUCTION
Terraform LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
2 files · PRODUCTION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
pandas LIBRARY Depth 58
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-04-20
Last commit 2026-05-05
Active months 2
Commits 4