Competencies: Data Engineering > CLI Data Processing

CLI Data Processing

Body of Knowledge

Topic	Description	Relevance	Career Tracks
yq YAML Processing	Command-line YAML processor using jq-like syntax for querying, filtering, and transforming YAML documents. Essential for Kubernetes manifests, CI configuration, and infrastructure-as-code workflows.	High	DevOps Engineer, Platform Engineer, SRE
CSV / TSV Processing	Structured data manipulation for delimited files including field extraction, column reordering, aggregation, and format conversion. Encompasses awk-based processing and tools like Miller (mlr).	Medium	Data Engineer, Systems Administrator, Automation Engineer
Log Processing with awk	Advanced log analysis using awk for syslog, application logs, and journal output. Includes pattern extraction, timestamp correlation, frequency analysis, and multi-field aggregation.	High	SRE, Systems Administrator, Security Analyst
Text Processing Pipelines	Multi-stage CLI pipelines combining grep, awk, sed, sort, and uniq for complex text analysis. Foundation for data extraction, transformation, and auditing at scale.	High	Data Engineer, DevOps Engineer, Systems Administrator

Topic

Description

Relevance

Career Tracks

yq YAML Processing

Command-line YAML processor using jq-like syntax for querying, filtering, and transforming YAML documents. Essential for Kubernetes manifests, CI configuration, and infrastructure-as-code workflows.

High

DevOps Engineer, Platform Engineer, SRE

CSV / TSV Processing

Structured data manipulation for delimited files including field extraction, column reordering, aggregation, and format conversion. Encompasses awk-based processing and tools like Miller (mlr).

Medium

Data Engineer, Systems Administrator, Automation Engineer

Log Processing with awk

Advanced log analysis using awk for syslog, application logs, and journal output. Includes pattern extraction, timestamp correlation, frequency analysis, and multi-field aggregation.

High

SRE, Systems Administrator, Security Analyst

Text Processing Pipelines

Multi-stage CLI pipelines combining grep, awk, sed, sort, and uniq for complex text analysis. Foundation for data extraction, transformation, and auditing at scale.

High

Data Engineer, DevOps Engineer, Systems Administrator

Personal Status

Topic	Level	Evidence	Active Projects	Gaps
yq YAML Processing	Intermediate	YAML manipulation for Antora playbooks, Kubernetes manifests, CI configuration; path expressions, in-place editing	yq Reference	No complex yq transforms, no YAML schema validation
CSV / TSV Processing	Advanced	awk-based field extraction, column reordering, aggregation; tab-separated data from ISE reports and network device exports; Miller (mlr) awareness	awk Reference	No proper CSV libraries (Python csv module used minimally), no handling of quoted fields with embedded commas
Log Processing with awk	Advanced	awk for syslog analysis, RADIUS accounting logs, systemd journal output; pattern extraction, timestamp correlation, frequency analysis	awk Reference, CLI Mastery Path	No log aggregation at scale (ELK, Loki), no structured logging frameworks
Text Processing Pipelines	Advanced	Multi-stage CLI pipelines for AsciiDoc analysis — grep for patterns, awk for extraction, sort/uniq for aggregation; built tooling to audit 3,486 documentation files	CLI Mastery Path	No NLP/text analysis libraries, no regex-based parsers for complex grammars

Topic

Level

Evidence

Active Projects

Gaps

yq YAML Processing

Intermediate

YAML manipulation for Antora playbooks, Kubernetes manifests, CI configuration; path expressions, in-place editing

yq Reference

No complex yq transforms, no YAML schema validation

CSV / TSV Processing

Advanced

awk-based field extraction, column reordering, aggregation; tab-separated data from ISE reports and network device exports; Miller (mlr) awareness

awk Reference

No proper CSV libraries (Python csv module used minimally), no handling of quoted fields with embedded commas

Log Processing with awk

Advanced

awk for syslog analysis, RADIUS accounting logs, systemd journal output; pattern extraction, timestamp correlation, frequency analysis

awk Reference, CLI Mastery Path

No log aggregation at scale (ELK, Loki), no structured logging frameworks

Text Processing Pipelines

Advanced

Multi-stage CLI pipelines for AsciiDoc analysis — grep for patterns, awk for extraction, sort/uniq for aggregation; built tooling to audit 3,486 documentation files

CLI Mastery Path

No NLP/text analysis libraries, no regex-based parsers for complex grammars