dennisthiessen
b4b5e3fbe1
Finalized package retained for reuse; role closed (Cisco scrape 2026-06-02: not on board, Recruitee link dead). PDFs/build artifacts gitignored. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
44 lines
2.8 KiB
TeX
44 lines
2.8 KiB
TeX
\documentclass[11pt,a4paper,roman]{moderncv}
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\usepackage[english]{babel}
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\moderncvstyle{classic}
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\moderncvcolor{blue}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{lmodern}
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\usepackage{ragged2e}
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\usepackage[scale=0.79]{geometry}
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\usepackage[version=4,arrows=pgf-filled]{mhchem}
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\renewcommand*{\makeletterclosing}{\par\vspace{2ex}\closingname\par}
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% ========== PERSONAL INFO ==========
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\name{Dennis}{Thiessen}
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\address{Bern, Switzerland}
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\phone[mobile]{+41 795 955 585}
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\email{dennis@thiessen.io}
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% ======================================
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\begin{document}
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\recipient{To}{Hiring Team\\Senior Data Engineer, Observability\\Isovalent (part of Cisco)\\Zurich, Switzerland}
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\date{\today}
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\opening{Dear Isovalent Hiring Team,}
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\makelettertitle
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\begin{justify}
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Cilium turned eBPF into the data plane for cloud-native networking, and Hubble and Tetragon now emit a firehose of network and runtime-security telemetry on top of it. Someone has to build the pipelines and columnar stores that turn that stream into fast answers about a customer's security posture. That is the data engineering I have done for a decade, which is why I am applying for your Senior Data Engineer, Observability role.
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At Swisscom, Switzerland's largest telco, I own the cloud-native data platform behind our Fulfillment and Product Analysis domains. I built the Kafka ingestion pipelines, migrated a legacy Teradata and Oracle warehouse to an AWS lakehouse (S3, Glue, Athena/Iceberg, Redshift, Airflow), and run our Python data services on Kubernetes with GitLab CI/CD. Most of my week is SQL and query optimization over large columnar stores, Teradata, Redshift and Impala, the exact work ClickHouse-class analytics at your telemetry volumes demands.
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Before Swisscom I ran the observability side of this equation. At a Bosch 300mm fab I designed and operated a centralized stack, ELK with Kafka ingestion plus Grafana, Prometheus and Loki, for anomaly detection across 24/7 production with no maintenance windows. I also tuned data services over Hadoop/Impala for defect analysis, and earlier engineered distributed real-time transcoding backends at Vizrt for broadcasters like CNN and the BBC. I have not shipped Go in production yet, but the systems and performance instincts it rewards are ones I have practiced for years, and I am learning it now.
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What draws me to Isovalent specifically is the open-source-first culture, Cilium being CNCF-graduated rather than a closed product, and the fact that the founding team built a real engineering hub here in Switzerland, where I am based. I would be glad to walk through the data backbone I would build behind Hubble and Tetragon whenever suits your team.
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\end{justify}
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\vspace{0.3cm}
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{Sincerely,\\
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Dennis Thiessen, M.Eng.\\
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Staff Data, Analytics \& AI Engineer\\
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Swisscom (Schweiz) AG}
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\end{document}
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