128 lines
8.2 KiB
Markdown
128 lines
8.2 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 data platform and infrastructure experience is woven throughout his career rather than being a dedicated "platform engineer" role — but the evidence is substantive: Kubernetes ownership at two employers, AWS migration with CloudFormation/IaC, GitLab CI/CD automation, Docker containerization of ML workloads, observability stack (ELK + Grafana + Prometheus), and 3 consecutive years as Swisscom Security Champion (DevSecOps). Position as "Data Engineer with strong platform and infrastructure ownership" rather than a dedicated Platform/SRE/DevOps role.
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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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- "DevSecOps / Security Champion" — security-aware platform engineer
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- "ELK + Grafana + Prometheus observability stack"
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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 legacy ETL stack to cloud-native AWS (S3, Glue, Athena/Iceberg, Redshift, Airflow, CloudFormation) — full IaC stack provisioned via CloudFormation" | CloudFormation/IaC + full AWS service 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 24/7 semiconductor production — zero-downtime constrained deployment" | Production-grade containerization under hardest constraints |
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| BS-4 | ELK PoC | "Designed and delivered observability stack: ELK + Kafka, Grafana dashboards, Prometheus metrics, Loki log aggregation — full monitoring suite for manufacturing infrastructure" | Full observability stack implementation |
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| SW-5 | Security Champion | "Swisscom Security Champion ×3 (2023–2026) — DevSecOps ownership, security compliance, risk monitoring and deviation tracking for Data Lake team" | Security ownership in platform context |
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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 Swisscom's legacy ETL stack to a cloud-native AWS platform (CloudFormation, Glue, Athena with Iceberg, Airflow) 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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**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. **Full AWS platform stack** — SW-1: Not just using one AWS service — migrating an entire ETL infrastructure to AWS with CloudFormation/IaC shows platform-level thinking.
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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. **Security ownership** — SW-5: Security Champion ×3 = DevSecOps embedded in platform work, not an afterthought.
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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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