dennisthiessenandClaude Opus 5
b8c5141279
F18 - page-one weighting - Across four compiled packages the first employment entry began at 45-55% of page one. A reader reaching the middle of the page had seen a profile and a skills block, and no evidence. - The old skills rule counted `\skillline` MACROS, which does not control density: six categories with long value lists wrap to twelve or more rendered lines. Replaced with a rendered-line budget verified in the compiled PDF, plus the rule that a skills line repeating what three bullets below already prove is spending the first screen to say it twice. - Employer chronology stays reverse-chronological; the ordering freedom is WITHIN a position, where the bullet closest to the target role leads. - New helper `page_metrics.py` measures page-one geometry from the PDF via pdftotext -bbox. F19 - education and phrasing - Degree + focus + institution crammed into one cell with a right-aligned date produced visible word spacing and mid-word breaks in SBB, NVIDIA and Aker BP. Split the entry, as RUAG_AI_Engineer_C5I already did. Template carries the rule. - Grades and thesis stay only where concretely relevant. claims.json grade_output_rule already keeps grades off by default; the M.Eng. thesis earns its place on condition-monitoring or sensor-data roles and otherwise does not. Validated by measurement rather than assertion - page_metrics.py first reproduced the review's own figures (NVIDIA 55.4%, SBB 50.6%, RUAG 50.3%). That is what makes the after-figure meaningful. - The NVIDIA CV was rebuilt FROM A COPY with the guidance applied: experience moved 55.4% -> 44.0% of page one, page-one text lines 47 -> 39, still two pages, zero overfull boxes, validator PASS. - The submitted package itself was not modified. F17 classifies archives as evidence, not as drafts. The percentage is a diagnostic, not a target: no pixel goal and no rule that page two must be filled. All 19 review findings are now complete. 37/37 tests pass. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Qej5SBvhcbGXHwLqNWiskM
97 lines
6.4 KiB
TeX
97 lines
6.4 KiB
TeX
% Default profile: International Tech resume for US-tech/FAANG-style roles in Europe.
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% Copy this file and resume.cls into a new output folder. Generate only from
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% resume_builder/canonical/claims.json plus normalized experience files.
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\documentclass{resume}
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{lmodern}
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% LANGUAGE — this template is English and relies on TeX's default (English) hyphenation.
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% For a GERMAN package you MUST add babel, or words break with English patterns
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% (`Hal-bleiterfertigung`, `automa-tisierte`) — a native reader notices, and no overfull
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% box warns you. See the 2026-08-27 KB Corrections Log entry.
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% \usepackage[ngerman]{babel}
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% \hyphenation{Trans-krip-ti-on} % ngerman still breaks this one wrongly
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% Then check the breaks in the compiled PDF — a clean box count proves nothing here.
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\usepackage[a4paper,left=0.65in,right=0.65in,top=0.55in,bottom=0.55in]{geometry}
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\usepackage{xcolor}
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\usepackage{hyperref}
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\hypersetup{hidelinks}
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\usepackage[version=4]{mhchem}
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\usepackage{fancyhdr}
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\pagestyle{fancy}
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\fancyhf{}
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\renewcommand{\headrulewidth}{0pt}
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\fancyfoot[R]{\small \thepage/\pageref{LastPage}}
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\name{Dennis Thiessen, M.Eng.}
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% Tailor this professional identity only within verified evidence.
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\headline{Staff Data Engineer $\vert$ AWS Data Platforms $\vert$ Production ML Delivery}
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% Optional when relevant: Swiss B permit; no employer sponsorship required.
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\contactline{Bern, Switzerland $\vert$ \href{mailto:dennis@thiessen.io}{dennis@thiessen.io} $\vert$ +41 795 955 585 $\vert$ \href{https://linkedin.com/in/dennis-thiessen}{LinkedIn}}
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\begin{document}
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\begin{rSection}{Summary}
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Staff data engineer with over ten years of production software experience across telecom, semiconductor manufacturing, broadcast technology and insurance. Owns business-critical pipeline components at Swisscom and previously integrated containerized ML inference into a continuously operating Bosch semiconductor fab.
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\end{rSection}
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\begin{rSection}{Technical Skills}
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\skillline{Languages}{Python, SQL; Java and C\# (professional, historical); C++ and JavaScript (limited historical use)}
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\skillline{Data}{Apache Kafka, Airflow, PySpark, Oracle, Teradata, Hadoop/Impala, data products, metadata and governance}
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\skillline{Cloud and platform}{AWS (S3, Glue, Athena/Iceberg, Redshift), CloudFormation, Kubernetes, Docker, GitLab CI/CD, Ansible}
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\skillline{ML delivery}{Production inference deployment and support, on-call operations; ELK, Grafana and Prometheus proof-of-concept work}
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\skillline{Certifications}{AWS Solutions Architect -- Associate; Data Engineering with AWS; iSAQB CPSA-F; ITIL Foundation}
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\end{rSection}
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\begin{rSection}{Professional Experience}
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\begin{rSubsection}{Swisscom (Schweiz) AG}{Oct 2023 -- Present}{Staff Data, Analytics \& AI Engineer (promoted from Senior, Apr 2025)}{Bern, Switzerland}
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\item Own Fulfillment ETL pipeline components as Component Owner, covering production operation, data quality, governance, incidents and on-call obligations across Oracle, Kafka, Python and Teradata processing.
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\item Migrated pipelines in the Fulfillment and Product Analysis domains onto Swisscom's AWS platform using Glue, Athena/Iceberg, Redshift, Airflow and CloudFormation while contributing to the wider migration programme.
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\item Build governed data products and active metadata within Swisscom's company-wide Data Mesh, supporting discoverable data access for analytics and AI use cases.
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\item Build and operate Python data applications on Kubernetes with GitLab CI/CD, covering containerized delivery from test through production operation.
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\end{rSubsection}
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\end{rSection}
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% Default two-page balance: keep the most recent role on page 1 and start the
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% second major evidence block on page 2. Recheck this break after tailoring.
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\newpage
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\begin{rSection}{Professional Experience (continued)}
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\begin{rSubsection}{Robert Bosch Semiconductor Manufacturing Dresden GmbH}{Feb 2020 -- Dec 2022}{Senior Engineer, Data Analysis (Data \& ML Engineering)}{Dresden, Germany}
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\item Integrated containerized ML inference with Docker, Kubernetes and Ansible into a continuously operating semiconductor-fab environment for automated image-based defect classification.
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\item Served as Application Owner for analytics applications and upstream pipelines, defining SLOs and transition scope while coordinating vendors, user training and documentation.
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\item Developed Python, Java and C\# data services over Oracle and Hadoop/Impala for defect-management and process-analysis teams.
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\item Co-owned the TIBCO Spotfire environment, built C\# extensions and wafer-map visualizations, and co-presented the work at TIBCO Analytics Forum 2022.
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\end{rSubsection}
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\begin{rSubsection}{Fraunhofer CML}{Sep 2018 -- Oct 2019}{Research Software Engineer}{Hamburg, Germany}
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\item Set up Jenkins CI/CD with quality gates, developed C\#/.NET software and built containerized microservices for maritime research platforms.
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\end{rSubsection}
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\begin{rSubsection}{Vizrt}{Jul 2017 -- May 2018}{Test Automation / DevOps Engineer}{Bergen, Norway}
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\item Contributed Python and C++ engineering to a distributed video-transcoding backend and developed automated audio/video integration tests connected to CI/CD quality gates.
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\end{rSubsection}
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\begin{rSubsection}{Generali Deutschland Informatik Services GmbH}{May 2015 -- Jun 2017}{IT Consultant}{Hamburg, Germany}
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\item Introduced BDD test automation through a proof of concept, held technical responsibility for the suite and Jenkins jobs, and trained colleagues in the Java community.
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\end{rSubsection}
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\end{rSection}
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% EDUCATION LAYOUT (review finding F19, 2026-09-11)
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% Keep the degree on the entry line and the institution on the line below. Cramming
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% degree + focus + institution into one cell with a right-aligned date produces visible
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% word spacing and mid-word breaks - seen in the SBB, NVIDIA and Aker BP packages.
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% Grades and thesis only where they carry concrete relevance; see claims.json
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% grade_output_rule, which keeps grades off by default.
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\begin{rSection}{Education}
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\compactentry{M.Eng. Computer Aided Engineering (Software Design \& Engineering), Universität der Bundeswehr München}{Apr 2012 -- Oct 2013}
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Thesis at Tongji University, Shanghai: \textit{Development of a Web-Based Remote Fault Diagnosis System}; grade 1.0.
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\compactentry{B.Eng. Information and Telecommunication Technologies, Universität der Bundeswehr München}{Oct 2009 -- Oct 2012}
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\end{rSection}
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\end{document}
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