chore: add Swisscom SW-7 data mesh achievement, Google FDE drafts, scout perms

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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2026-05-28 14:25:23 +02:00
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### Achievement SW-7: Data Mesh, Data Products & Metadata Management (AWS) — Foundation for Agentic AI
**Source:** User-verified current work (2026), thiessen_cv_master_profile.md (AWS stack)
**User's role:** Primary developer / current Staff-level focus area
**Status:** Active / ongoing (current emphasis)
**Context:** Current Staff-level work building decentralized **Data Mesh** architecture, reusable **data products**, and active **metadata management** on AWS (Glue, Athena, CloudFormation, AWS CLI, CI/CD deployments). This is the governed, discoverable data foundation that downstream AI and **agentic workflows** depend on — enabling "AI speak-to-data" / grounded retrieval over enterprise data. Directly maps to agentic reference-architecture and MCP-based tool/data-access requirements.
**Bullet variants:**
- **2L:** Built decentralized Data Mesh and reusable data products with active metadata management on AWS (Glue, Athena, CloudFormation, CI/CD) — the governed, discoverable data foundation that downstream AI and agentic workflows query directly.
- **3L:** Architected decentralized Data Mesh with reusable, governed data products and active metadata management on AWS (Glue, Athena, CloudFormation, AWS CLI, automated CI/CD) — establishing the discoverable, well-described data foundation that downstream AI and agentic workflows depend on for grounded, "speak-to-data" retrieval over enterprise sources.
- **1L:** Built AWS Data Mesh, data products and metadata management — the governed data foundation for downstream AI/agentic workflows.
**Key skills:** Data Mesh, data products, metadata management, data catalog, data governance, AWS, Glue, Athena, CloudFormation, AWS CLI, CI/CD, agentic data foundation, grounded retrieval
**ATS keywords:** Data Mesh, data products, metadata management, AWS, Glue, Athena, CloudFormation, CI/CD, data governance, grounded retrieval, agentic AI foundation
**Reframing notes:**
- ML/AI (agentic): HIGH — lead bridge to "reference architecture for agentic systems" + "grounded retrieval / MCP tool-data access"; frame data layer as what agents query
- Data Platform/Infra: HIGH — Data Mesh + metadata + AWS IaC is core platform signal
- Staff/Senior DE: HIGH — decentralized architecture ownership at scale
- Analytics Engineer: MED — data products enable self-serve analytics
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## Position Summary
| Achievement | ID | Priority for DE | Priority for Analytics | Priority for ML/AI | Priority for Platform |
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| B2B Data Products + Automation | SW-4 | MED | HIGH | MED | MED |
| Security Champion | SW-5 | MED | LOW | MED | HIGH |
| PySpark | SW-6 | MED | LOW | MED | MED |
| Data Mesh / Data Products / Metadata (agentic foundation) | SW-7 | HIGH | MED | HIGH | HIGH |