feat: rebuild evidence-first application workflow
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@@ -56,7 +56,7 @@
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| SW-4 | B2B products + automation | **Lead bullet** — "Delivered data products, analyses and dashboards for B2B stakeholders; drove automation of recurring technical workflows" | Stakeholder-facing delivery |
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| SW-2 | Component Owner ETL | "Owned Fulfillment ETL pipelines (Oracle/Kafka → Teradata) — ensuring data availability for downstream analytics with SLA accountability" | Pipeline → analytics link |
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| SW-1 | AWS migration | "Migrated ETL stack to AWS (S3, Glue, Athena/Iceberg, Redshift, Airflow) — enabling scalable, query-optimized analytics on a cloud data lakehouse" | Iceberg/Athena = analytics stack |
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| SW-1 | AWS migration | "Migrated pipelines in his owned domains onto Swisscom's AWS platform (S3, Glue, Athena/Iceberg, Redshift, Airflow)" | Scoped delivery on a current analytics stack; no unverified scale claim |
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| BS-3 | Application Owner | "Application Owner for semiconductor data analysis platforms — defined SLOs, trained users, managed vendor relationships and stakeholder expectations" | Ownership + analytics platform |
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| BS-2 (generic) | Data services | "Built data services supplying analysis teams with on-demand structured access to manufacturing process data" | Analytics enablement framing |
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| BS-2 (semi JD) | Data services | "Built data services enabling Defect Management, Parameter Testing and Process Analysis teams with on-demand data access" | Semiconductor domain specificity |
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@@ -109,12 +109,12 @@ Python, SQL (Oracle · Teradata · Athena), AWS (S3 · Glue · Athena · Redshif
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**Key narrative thread:**
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1. **Analytics platform ownership** — App Owner at Bosch: not just building queries, but owning the analytics software that teams depend on
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2. **Pipeline-to-insight chain** — Fulfillment Component Owner at Swisscom: show the full chain from raw Oracle/Kafka data → Teradata DWH → B2B analytics
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3. **Cloud analytics stack** — AWS migration with Athena/Iceberg/Glue: modern lakehouse architecture for analytics workloads
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3. **Cloud analytics stack** — hands-on migration of owned-domain pipelines using Athena/Iceberg/Glue within a wider programme
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4. **Semiconductor domain** (for semi JDs): Defect Management + Parameter Testing + Process Analysis — rare domain expertise in an Analytics Engineer candidate
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**"Why them" angle to research:**
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- What business domain are their analytics teams serving? Map to Swisscom (telecom) or Bosch (manufacturing) experience
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- What is their analytics stack? AWS-heavy → your SW-1 migration is directly relevant
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- What is their analytics stack? AWS-heavy roles can use SW-1 directly when company-wide ownership is not implied
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- Do they use dbt? Flag if so — not in your stack, but Airflow/Glue is adjacent
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**Avoid:**
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