dennisthiessenandClaude Opus 5
f515a1e522
D1/D2 - Bosch title and promotion: CONFIRMED by the user. The promotion and its
timing are correct and came from a re-grading (Neueinstufung). The Zeugnis does
not contradict it - it names DEPARTMENTS ("Ingenieur" in Fertigungstechnologie
1/2/3) rather than job titles. Separately corrected a false provenance note that
claimed official_title was "the formal combined string on the Zeugnis"; it never
came from that document, it comes from the user and LinkedIn.
D3 - part-time from 2021-09: NOT recorded, by the user's decision. Noted for
completeness that tenure wording such as "over ten years" measures elapsed time
and is unaffected; it would only matter if a document claimed FTE years, and
none does.
D4 - French and Italian: the Swisscom Zwischenzeugnis says he uses both
professionally on a regular basis. The user reviewed the sentence and confirmed
it is an ERROR IN THE DOCUMENT. DE/EN only stands. Recorded in
identity.language_note so nobody rediscovers the line and acts on it, with the
practical warning that a reader of that Zeugnis may take it at face value.
D5 - the RUAG MSSQL rule-out: the DECISION stands (user does not want it
revisited), the REASONING is corrected. Two of its four premises were wrong:
MSSQL is not 0 (Fraunhofer SCEDAS ran on Microsoft SQL Server), and "his stack
is AWS cloud-native" was too narrow - the Swisscom Zeugnis documents component
ownership for ETL into the Teradata DWH. Talend and SAP S/4HANA remain genuinely
0, and the required line reads "Aufbau UND Betrieb" while he has documented
Betrieb only - so the skip is still defensible, it was just better than its
written justification. Both RUAG decision rows now carry the correction and a
standing rule for future DWH postings.
D6 - Vizrt end date: 2018-05 stands by the user's decision.
And the follow-through that matters: the data-warehouse, MSSQL and mentoring
evidence is now IN THE BUNDLES, not only in claims.json. BS-6 showed last week
that evidence which reaches no bundle cannot be selected - this is the same
failure mode, caught the same week. The DWH entry carries its scope limit
explicitly: documented Betrieb, not Aufbau.
Validator PASS, 37/37 tests.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Qej5SBvhcbGXHwLqNWiskM
163 lines
12 KiB
Markdown
163 lines
12 KiB
Markdown
# Bundle: Data Platform / Infra
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> Target employers: Cloud-first companies, AWS-heavy orgs
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> Tier: 3 — viable with careful framing
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> Config key: bundle_data_platform.md
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---
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## S1: Role Profile & Priority Matrix
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**Positioning:** Dennis's platform evidence sits inside data-engineering roles rather than a dedicated Platform/SRE title: Kubernetes delivery at Swisscom and Bosch, scoped AWS migration work with CloudFormation, GitLab CI/CD, Dockerized ML inference and an observability proof of concept. Position as a data engineer with production-platform depth, not as a dedicated SRE, developer-platform or Terraform engineer.
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**Note on Tier 3:** This bundle is viable but slightly less natural than Tier 1/2. The gap is: Dennis doesn't have a dedicated platform engineering title, and his infrastructure work is in service of data pipelines rather than standalone infrastructure. Frame accordingly — emphasize that his platform skills are production-proven, not academic.
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### Priority Matrix
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| Priority | Achievement IDs | Rationale |
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|----------|----------------|-----------|
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| HIGH | SW-3, SW-1, SW-2, BS-1, BS-2, BS-3, BS-4, SW-5 | K8s/GitLab, AWS/IaC, pipeline ownership, ML containerization, data services, ELK observability, DevSecOps |
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| MED | SW-4, SW-6, FC-1, FC-3, VZ-2, BS-5 | Automation, PySpark, CI/CD initiative, microservices, quality gates |
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| LOW | FC-2, VZ-1, GN-1, GN-2, CA-1 | Non-platform signals |
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**2-page resume bullet allocation (typical):**
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- Swisscom: 3–4 bullets (SW-3, SW-1, SW-2, SW-5)
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- Bosch: 3 bullets (BS-1, BS-2 or BS-3, BS-4)
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- Fraunhofer: 1 bullet (FC-1 — CI/CD initiative)
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- Vizrt: 1 bullet (VZ-2 — quality gates in CI/CD)
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- Generali: 1 bullet (GN-1 or omit)
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---
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## S2: Summary Guide
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**Headline pattern:**
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> "Data Platform Engineer | Kubernetes · AWS · Kafka | Cloud-Native Data Infrastructure, IaC & DevSecOps"
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**Building blocks:**
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- "cloud-native data infrastructure" or "data platform ownership"
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- "Kubernetes-based containerized pipeline deployment"
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- "AWS IaC (CloudFormation)" — infrastructure-as-code signal
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- "AWS migration" — hands-on cloud platform experience
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- Security Champion is not a default positioning theme; use the 2025/2026 team role only when the JD explicitly requires security exposure
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- "ELK + Grafana + Prometheus monitoring" — **never** "delivered/built the observability stack" or
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"full monitoring suite": `claims.json` BS-4 is a **proof of concept** and forbids "built the
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observability platform" / "enterprise observability platform". Carry the PoC scope into any wording.
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> **Scope warning (corrected 2026-09-04).** The S3 row for BS-4 previously read "*Designed and
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> delivered observability stack … full monitoring suite for manufacturing infrastructure*" and was
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> labelled "Full observability stack implementation" — a delivered-capability claim over a PoC, and the
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> same defect the 2026-08-21 log entry found in `bundle_data_engineer.md` §S5. That entry said to check
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> the other four bundles; this is the one that had it. See CLAUDE.md → Scope Discipline.
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**Tone:** Infrastructure-minded engineer who thinks about reliability, observability, and security — not just data throughput. Platform thinking embedded in data work.
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**Avoid:**
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- Leading with analytics or BI framing
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- Overemphasizing test automation background
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- Positioning as SRE or pure DevOps (the role was data engineering with platform ownership)
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---
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## S3: Achievement Reframing Map
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| ID | Default Framing | This Role's Framing | Key Metric / Signal |
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|----|----------------|--------------------|--------------------|
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| SW-3 | K8s + GitLab | **Lead bullet** — "Deployed and operated Python data applications on Kubernetes with GitLab CI/CD; drove infrastructure automation in agile DevOps team" | K8s + CI/CD ownership = core platform signal |
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| SW-1 | AWS migration | "Migrated pipelines in his owned domains from legacy Teradata/Oracle processing onto Swisscom's AWS platform (Glue, Athena/Iceberg, Redshift, Airflow, CloudFormation)" | Scoped migration delivery plus AWS breadth |
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| SW-2 | Component Owner | "Owned Fulfillment ETL pipelines (Oracle/Kafka → Teradata) — platform reliability, Data Governance compliance, 2nd/3rd-level support and on-call duty" | Platform SLA + on-call = reliability engineer signal |
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| BS-1 | ML inference | "Containerized and orchestrated ML inference (Docker, K8s, Ansible) into a continuously operating 24/7 semiconductor production environment" | Production-grade containerization in an environment that cannot be paused. **Do not write *zero-downtime*** — canonical BS-1 evidences integration into continuous production, not a measured zero-downtime deployment property |
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| BS-4 | ELK PoC | "Built an anomaly-detection **proof of concept** on ELK + Kafka (Docker) with Grafana, Prometheus and Loki monitoring, validating centralized logging and alerting for 24/7 semiconductor production" | PoC-scoped observability breadth — **the PoC framing is mandatory, not optional** |
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| SW-5 | Security Champion | "2025/2026 team Security Champion; include only if the JD explicitly requires security or DevSecOps exposure" | Secondary team-role evidence, not ownership or certification |
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| BS-6 | Linux/Ansible | "Administered and automated Linux servers carrying the ML platform, Docker hosts and backend services at Bosch; wrote Ansible extensions including a credential plugin with local caching" | **Infrastructure-as-Code and Linux operations evidence.** Added 2026-09-11 (review F07): BS-6 existed in `claims.json` and `experience_bosch.md` since 2026-08-27 but appeared in NO bundle, so the selection paths could not see it. Currency limit: employer-side Linux/Ansible ended Dec 2022; `PP-3` (personal Debian server) carries the current half and must be named as personal. GitOps stays forbidden — execution was push-based from Jenkins/GitLab, not agent-reconciled |
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| BS-2 | Data services | "Built multi-language data services (Python/Java/C#) over OracleDB and Hadoop/ImpalaSQL — platform-layer data access for semiconductor analysis teams" | Enterprise DB + Hadoop infrastructure |
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| BS-3 | App Owner | "Application Owner for semiconductor analytics platform — SLOs, reliability, vendor management, on-call coverage" | Platform SLA ownership |
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| FC-1 | CI/CD initiative | "Independently introduced Jenkins CI/CD pipeline with quality gates at Fraunhofer CML — first build automation adopted by the research team" | Initiative: built CI/CD from zero |
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---
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## S4: Skills Guide
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**Bold tools (resume Technical Skills section):**
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Kubernetes, Docker, AWS (S3 · Glue · Athena · Redshift · CloudFormation), Kafka, GitLab CI/CD
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**Must-include skills (ATS match):**
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- Kubernetes, Docker, Ansible
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- AWS (S3, Glue, Athena, Redshift, CloudFormation, Airflow), Apache Iceberg
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- GitLab CI/CD, Jenkins
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- Kafka, Apache Airflow
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- Python, SQL
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- ELK Stack, Grafana, Prometheus
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- IaC / CloudFormation
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- DevSecOps
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**Nice-to-have (include if JD mentions):**
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- Terraform (not evidenced — do NOT claim; flag if JD requires)
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- Loki (log aggregation — from Bosch PoC)
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- PySpark (distributed processing on platform)
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- Ansible (Bosch ML orchestration)
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- Oracle DB, Teradata (enterprise data platform experience)
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**Omit:**
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- BDD, Selenium, HP Quality Center, UIPath (testing — irrelevant)
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- Tibco Spotfire, SAP BODS (application tools — irrelevant)
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- RPA/Camunda (process automation — irrelevant)
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**Certifications to highlight:**
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- AWS Certified Solutions Architect – Associate → HIGH (platform credibility, architecture knowledge)
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- Data Engineering with AWS → supporting
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- iSAQB CPSA Foundation Level → MED (software architecture — relevant for platform design decisions)
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---
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## S5: Cover Letter Guide
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**Institution type:** Cloud-first tech company, scale-up with AWS-heavy stack, enterprise platform team, or data infrastructure consultancy
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**Opening hook pattern:**
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> "Across my career at Swisscom and Bosch, I've owned data infrastructure at two ends of the spectrum: migrating my own domains' pipelines onto Swisscom's AWS platform (CloudFormation, Glue, Athena with Iceberg, Airflow) as part of its wider cloud programme, while operating Kubernetes-deployed Python applications with GitLab CI/CD — and containerizing ML inference into a 24/7 semiconductor production line at Bosch using Docker, Kubernetes, and Ansible. In both cases, the infrastructure had to be production-grade with no tolerance for downtime. [Tie to their platform challenge]."
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> **Scope warning (corrected 2026-08-26).** This hook previously read "*migrating Swisscom's legacy
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> ETL stack to a cloud-native AWS platform*" — a full-ownership framing on a company-scale object,
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> contradicting `claims.json` SW-1 (`forbidden`: "migrated the company warehouse", "led the migration
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> of the legacy warehouse"). Same defect fixed in `bundle_data_engineer.md` on 2026-08-21; this
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> bundle was missed by that sweep. Never pair a full-ownership verb with a company-scale object.
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> See CLAUDE.md → Scope Discipline.
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**Key narrative thread:**
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1. **Production Kubernetes** — SW-3 + BS-1: K8s at two employers, in different contexts (data apps at Swisscom, ML inference at Bosch). Cross-employer K8s ownership is a strong signal.
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2. **AWS platform breadth** — SW-1: not just one AWS service — migrating his own domains' pipelines with CloudFormation/IaC, inside the wider company programme, shows platform-level thinking. **Never write "an entire ETL infrastructure" or any company-scale object here** (corrected 2026-08-26).
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3. **Observability initiative** — BS-4: Self-initiated ELK + Prometheus + Grafana PoC shows platform engineer mindset (monitoring is not optional).
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4. **Operational accountability** — use Component/Application Owner evidence. Security Champion is optional and never a substitute for production ownership.
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**"Why them" angle to research:**
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- What is their cloud stack? If AWS-heavy → your SAA cert + migration experience is directly relevant
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- Do they use Kubernetes in production? → Cross-employer K8s experience is the signal
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- Are they building their data platform from scratch vs. maintaining existing? → Tailor SW-1 (migration) vs. BS-4 (observability initiative) accordingly
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- Terraform vs. CloudFormation? → Note that your experience is CloudFormation; Terraform familiarity may need bridging
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**Avoid:**
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- Leading with analytics or BI outcomes (platform audience cares about reliability and infrastructure)
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- Claiming SRE/pure DevOps title (you were a data engineer with platform ownership)
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- Overstating Terraform/Helm experience (not confirmed — do not claim)
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- Mentioning SCEDAS, maritime research, BDD, or RPA
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## Data-warehouse and mentoring evidence (added 2026-09-11 from the Arbeitszeugnisse)
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Both were documented all along and reached no bundle, so the selection paths could not see them.
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Same failure mode as BS-6 (Linux/Ansible), found the same week.
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- **Data warehouse (SW-2).** The Swisscom Zwischenzeugnis documents *Komponentenverantwortung* for
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the ETL pipelines that load business-critical Fulfillment data from Oracle into the **Teradata
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Data Warehouse (DWH)**. Use this whenever a JD names data warehousing — it was previously
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screened as absent, which cost a correct answer on at least one posting.
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**Scope limit:** this is documented **Betrieb** (operation) of a DWH, not **Aufbau**
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(construction). A required line saying *"Aufbau und Betrieb von Data-Warehouse-Lösungen"* is only
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half met — say which half.
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- **Microsoft SQL Server (FC-1).** Fraunhofer's SCEDAS ran on MSSQL with C# and Entity Framework.
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Historical and single-project; do not present it as data-platform depth.
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- **Mentoring (BS-7).** *"Fachliche Betreuung von Studierenden, auch im Rahmen von
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Abschlussarbeiten"* — documented technical supervision, including thesis supervision. Use it when
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a JD asks about developing other engineers (SBB asked explicitly and the answer had to fall back
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on team roles). **Technical supervision, NOT people management.**
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