Microsoft Certified: Azure Data Fundamentals
Foundational credential for relational and non-relational data concepts and Azure data workloads.
Credential details link to Microsoft, the issuing organization. SkillChirp is not the issuer and does not claim that earning a credential guarantees employment.
Pair the credential with inspectable work.
The credential can signal knowledge. These projects are mapped because they exercise related skills and create artifacts you can deploy, document and discuss.
Analytics Warehouse with dbt
Model raw product and revenue data into tested analytics tables with documentation and lineage.
Product Funnel Analysis
Turn messy event data into reproducible funnel analysis with SQL, quality checks and a decision memo.
Data Quality Monitoring Pipeline
Detect freshness, schema and distribution problems before broken data reaches dashboards.
Where this credential fits.
Role mappings are SkillChirp navigation guidance, not a claim that every employer requires this credential.
Data Analyst / Engineer
Turn raw data into decisions and reproducible systems.
Cloud / AWS Engineer
Prove you can connect cloud services into reliable systems.
Backend Developer
Show systems thinking behind the API surface.
Does the job actually ask for it?
Paste the job description. SkillChirp keeps employer-mentioned credentials separate from project skill coverage, then recommends projects for the technical proof you still need.