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claude-resume-kit/resume_builder/templates/resume_template.tex
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% Default profile: International Tech resume for US-tech/FAANG-style roles in Europe.
% Copy this file and resume.cls into a new output folder. Generate only from
% resume_builder/canonical/claims.json plus normalized experience files.
\documentclass{resume}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{lmodern}
\usepackage[a4paper,left=0.65in,right=0.65in,top=0.55in,bottom=0.55in]{geometry}
\usepackage{xcolor}
\usepackage{hyperref}
\hypersetup{hidelinks}
\usepackage[version=4]{mhchem}
\usepackage{fancyhdr}
\pagestyle{fancy}
\fancyhf{}
\renewcommand{\headrulewidth}{0pt}
\fancyfoot[R]{\small \thepage/\pageref{LastPage}}
\name{Dennis Thiessen, M.Eng.}
% Tailor this professional identity only within verified evidence.
\headline{Staff Data Engineer $\vert$ AWS Data Platforms $\vert$ Production ML Delivery}
% Optional when relevant: Swiss B permit; no employer sponsorship required.
\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}}
\begin{document}
\begin{rSection}{Summary}
Staff data engineer with 12+ 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.
\end{rSection}
\begin{rSection}{Technical Skills}
\skillline{Languages}{Python, SQL; Java and C\# (professional, historical); C++ and JavaScript (limited historical use)}
\skillline{Data}{Apache Kafka, Airflow, PySpark, Oracle, Teradata, Hadoop/Impala, data products, metadata and governance}
\skillline{Cloud and platform}{AWS (S3, Glue, Athena/Iceberg, Redshift), CloudFormation, Kubernetes, Docker, GitLab CI/CD, Ansible}
\skillline{ML delivery}{Production inference deployment and support, on-call operations; ELK, Grafana and Prometheus proof-of-concept work}
\skillline{Certifications}{AWS Solutions Architect -- Associate; Data Engineering with AWS; iSAQB CPSA-F; ITIL Foundation}
\end{rSection}
\begin{rSection}{Professional Experience}
\begin{rSubsection}{Swisscom (Schweiz) AG}{Oct 2023 -- Present}{Staff Data, Analytics \& AI Engineer (promoted from Senior, Apr 2025)}{Bern, Switzerland}
\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.
\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.
\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.
\item Build and operate Python data applications on Kubernetes with GitLab CI/CD, covering containerized delivery from test through production operation.
\end{rSubsection}
\end{rSection}
% Default two-page balance: keep the most recent role on page 1 and start the
% second major evidence block on page 2. Recheck this break after tailoring.
\newpage
\begin{rSection}{Professional Experience (continued)}
\begin{rSubsection}{Robert Bosch Semiconductor Manufacturing Dresden GmbH}{Feb 2020 -- Dec 2022}{Senior Engineer, Data Analysis (Data \& ML Engineering)}{Dresden, Germany}
\item Integrated containerized ML inference with Docker, Kubernetes and Ansible into a continuously operating semiconductor-fab environment for automated image-based defect classification.
\item Served as Application Owner for analytics applications and upstream pipelines, defining SLOs and transition scope while coordinating vendors, user training and documentation.
\item Developed Python, Java and C\# data services over Oracle and Hadoop/Impala for defect-management and process-analysis teams.
\item Co-owned the TIBCO Spotfire environment, built C\# extensions and wafer-map visualizations, and co-presented the work at TIBCO Analytics Forum 2022.
\end{rSubsection}
\begin{rSubsection}{Fraunhofer CML}{Sep 2018 -- Oct 2019}{Research Software Engineer}{Hamburg, Germany}
\item Set up Jenkins CI/CD with quality gates, developed C\#/.NET software and built containerized microservices for maritime research platforms.
\end{rSubsection}
\begin{rSubsection}{Vizrt}{Jul 2017 -- May 2018}{Test Automation / DevOps Engineer}{Bergen, Norway}
\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.
\end{rSubsection}
\begin{rSubsection}{Generali Deutschland Informatik Services GmbH}{May 2015 -- Jun 2017}{IT Consultant}{Hamburg, Germany}
\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.
\end{rSubsection}
\end{rSection}
\begin{rSection}{Education}
\compactentry{M.Eng. Computer Aided Engineering (Software Design \& Engineering), Universität der Bundeswehr München}{Apr 2012 -- Oct 2013}
Thesis at Tongji University, Shanghai: \textit{Development of a Web-Based Remote Fault Diagnosis System}; grade 1.0.
\compactentry{B.Eng. Information and Telecommunication Technologies, Universität der Bundeswehr München}{Oct 2009 -- Oct 2012}
\end{rSection}
\end{document}