etl-pipeline markbakos · COMPLETED
End-to-end ETL pipeline that ingests and transforms change data in real-time using PostgreSQL, Debezium, Apache Kafka, and Apache Spark (PySpark)
github.com/markbakos/etl-pipeline · ★ 1 · Forks 0 · Size 23 KB
SUMMARY
Technologies 8
Scored 8
Observed 8
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 21 files · 12 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
1 files · PRODUCTION
Shell LANGUAGE Depth 70
2 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
12 files · PRODUCTION
SQL LANGUAGE Depth 70
3 files · PRODUCTION
Apache Kafka MESSAGE_BROKER Depth 69
2 files · CONFIGURATION
PostgreSQL DATABASE Depth 92
4 files · CONFIGURATION, PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · observedlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-12-13
Last commit 2025-12-14
Active months 1
Commits 12