feat(resume): QuantCo Cloud Engineer package (sent, ~82/100)
- Full resume + cover letter + critique for QuantCo Cloud Engineer (Zürich) - Applied Tier 1+2 critique fixes: corrected education dates, hedged Data Mesh ownership, sharpened tagline/summary, added SRE token - Mark QuantCo Cloud Engineer + Equinor as sent in trackers - decisions.json: QuantCo Cloud Engineer -> applied Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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\documentclass{resume}
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\usepackage{hyperref}
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\usepackage{enumitem}
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\usepackage{fontawesome}
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\usepackage{tikz}
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\usepackage{graphicx}
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\hypersetup{
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colorlinks = true,
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linkcolor = [rgb]{0.9,0.4,0.4},
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anchorcolor = [rgb]{0.9,0.4,0.4},
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citecolor = [rgb]{0.4,0.4,0.4},
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filecolor = [rgb]{0.4,0.4,0.4},
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urlcolor = [rgb]{0.0,0.0,0.99},
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}
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\usepackage{xcolor}
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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[version=4,arrows=pgf-filled]{mhchem}
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\usepackage[includefoot,left=0.5in,top=0.5in,right=0.5in,bottom=0.2in,textwidth=7.5in,textheight=10.8in]{geometry}
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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]{\hfill \thepage/\pageref{LastPage}}
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\newcommand{\tab}[1]{\hspace{.2667\textwidth}\rlap{#1}}
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\newcommand{\itab}[1]{\hspace{0em}\rlap{#1}}
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%----------------------------------------------------------------------------------------
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% HEADER
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%----------------------------------------------------------------------------------------
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\name{Dennis Thiessen, M.Eng.}
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\address{\href{https://linkedin.com/in/dennis-thiessen}{LinkedIn}}
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\address{dennis@thiessen.io \\ +41 795 955 585}
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\address{Bern, Switzerland $\vert$ German citizen $\vert$ Open to Z\"urich (hybrid) $\cdot$ remote across DACH/EU}
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\address{{Cloud \& Platform Engineer $\vert$ AWS $\cdot$ IaC $\cdot$ CI/CD $\vert$ Cloud-Native Infrastructure \& Reliability}}
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\begin{document}
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\vspace{-0.15cm}
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%----------------------------------------------------------------------------------------
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% SUMMARY
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%----------------------------------------------------------------------------------------
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\begin{rSection}{Summary}
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Cloud and platform engineer with 11+ years building and operating production infrastructure. Currently own Switzerland's largest telco's cloud-native data platform on \textbf{AWS} (S3, Glue, Athena/Iceberg, Redshift, \textbf{Airflow}) with \textbf{CloudFormation} IaC and \textbf{GitLab CI/CD}; earlier moved ML inference into a 24/7 Bosch semiconductor fab with \textbf{Docker} and \textbf{Kubernetes}. Build a decentralized \textbf{Data Mesh} of governed data products that downstream teams consume, and run pipelines under on-call SLA with strong observability and DevSecOps practice. \textbf{AWS Certified Solutions Architect}; \textbf{Python} expert.
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\end{rSection}
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\vspace{-0.15cm}
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%----------------------------------------------------------------------------------------
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% TECHNICAL SKILLS — Format C, 5 groups (4-3-2-2-2)
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%----------------------------------------------------------------------------------------
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\begin{rSection}{Technical Skills}
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\begin{skillgroup}{Cloud Platform \& Infrastructure as Code}
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\skilldash{\textbf{AWS} (S3, Glue, Athena/Iceberg, Redshift, Lambda, Step Functions, \textbf{Airflow}, CloudWatch, ECR/ECS)}
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\skilldash{\textbf{Infrastructure as Code} (\textbf{CloudFormation}), serverless and event-driven architecture, AWS SAA-certified}
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\skilldash{Cloud-native application delivery, multi-service platform operation, scalability and cost awareness}
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\skilldash{Linux, networking fundamentals, Bash / shell scripting, Git, software architecture (iSAQB)}
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\end{skillgroup}
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\begin{skillgroup}{Containers, CI/CD \& Observability}
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\skilldash{\textbf{Kubernetes}, \textbf{Docker}, Ansible: containerized application deployment and orchestration}
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\skilldash{\textbf{GitLab CI/CD}, Jenkins: build, test and deploy automation, quality gates, DevSecOps}
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\skilldash{ELK Stack (Elasticsearch, Logstash, Kibana), \textbf{Grafana}, \textbf{Prometheus}, Loki, alerting, SRE on-call}
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\end{skillgroup}
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\begin{skillgroup}{Data Engineering \& Pipelines}
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\skilldash{\textbf{Kafka}, \textbf{Airflow}, PySpark / Apache Spark, ETL/ELT design, data modeling, data governance}
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\skilldash{Teradata, OracleDB, Hadoop/ImpalaSQL, Data Mesh / data products, batch and stream processing}
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\end{skillgroup}
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\begin{skillgroup}{Programming \& Tools}
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\skilldash{\textbf{Python} (expert), Java, SQL, JavaScript/TypeScript, FastAPI, Pandas, NumPy, pytest}
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\skilldash{C\# / .NET (legacy), C++ (legacy), Express.js, design patterns, Agile/Scrum, code review}
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\end{skillgroup}
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\begin{skillgroup}{Certifications}
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\skilldash{\textbf{AWS Certified Solutions Architect -- Associate} (active to Sep 2027), Data Engineering with AWS (Udacity)}
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\skilldash{iSAQB CPSA -- Foundation (2016), ITIL Foundation (2016), IBM AI Engineering Specialization}
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\end{skillgroup}
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\end{rSection}
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\vspace{-0.15cm}
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%----------------------------------------------------------------------------------------
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% PROFESSIONAL EXPERIENCE
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%----------------------------------------------------------------------------------------
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\begin{rSection}{Professional Experience}
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% --- Swisscom (Oct 2023 -- Present) — SW-1, SW-7, SW-3, SW-2, SW-4, SW-6 ---
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\begin{rSubsection}{Cloud-Native AWS Data Platform: IaC, CI/CD \& Production Reliability}{\textcolor{black!60}{Oct 2023 -- Present}}{Staff Data, Analytics \& AI Engineer, Swisscom (Schweiz) AG}{Bern, Switzerland}
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\item Migrated Swisscom's legacy Teradata/Oracle ETL to a cloud-native \textbf{AWS} platform (S3, Glue, Athena/Iceberg, Redshift, \textbf{Airflow}) provisioned as code with \textbf{CloudFormation}, for serverless ML and analytics workloads.
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\item Built reusable, governed data products with metadata management on Swisscom's decentralized \textbf{Data Mesh}, served from \textbf{AWS} (Glue, Athena, CloudFormation, CI/CD) and queried directly by downstream product teams.
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\item Deployed and operate \textbf{Python} data applications on \textbf{Kubernetes} with \textbf{GitLab CI/CD}, owning containerized delivery from build and test through production rollout in an agile DevOps team across multiple data products.
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\item Own business-critical Fulfillment and Product Analysis ETL pipelines (Oracle, \textbf{Kafka} to Teradata in \textbf{Python}) as Component Owner, enforcing data governance and SLA compliance under 2nd/3rd-level on-call support.
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\item Deliver data products and dashboards for B2B product teams and drive \textbf{Python} process automation, running 3rd-level root cause analysis to keep platform pipelines reliable and available across recurring workflows.
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\item Apply \textbf{PySpark} and distributed computing in the Swisscom Data Lake, extending \textbf{Python} pipeline capabilities to large-scale batch workloads for Fulfillment and Product Analysis data.
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\end{rSubsection}
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% --- Bosch (Feb 2020 -- Dec 2022) — BS-1, BS-4, BS-3, BS-2 ---
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\begin{rSubsection}{Production Containerization \& Observability in 24/7 Semiconductor Manufacturing}{\textcolor{black!60}{Feb 2020 -- Dec 2022}}{(Senior) Data \& ML Engineer, Robert Bosch Semiconductor Manufacturing}{Dresden, Germany}
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\item Containerized and orchestrated production deployment (\textbf{Docker}, \textbf{Kubernetes}, Ansible) of automated image-based defect classification in Bosch's 24/7 semiconductor fab across 300mm wafer lines without downtime.
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\item Delivered an anomaly-detection and observability stack (ELK with \textbf{Kafka} on \textbf{Docker}, plus \textbf{Grafana}, \textbf{Prometheus} and Loki), giving centralized monitoring and alerting for 24/7 manufacturing infrastructure.
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\item Served as Application Owner for the semiconductor analytics suite and upstream pipelines, defining SLOs, managing software vendors, and delivering user training and documentation to keep systems reliable 24/7.
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\item Developed data services in \textbf{Python}, Java and C\# over OracleDB and Hadoop/ImpalaSQL, giving analysis teams structured, reliable access to defect-management and process-optimization data in a high-throughput fab.
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\end{rSubsection}
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% --- Fraunhofer (Sep 2018 -- Oct 2019) — FC-1, FC-3 ---
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\begin{rSubsection}{CI/CD Automation \& Containerized Microservice Engineering}{\textcolor{black!60}{Sep 2018 -- Oct 2019}}{Research Software Engineer, Fraunhofer-Center for Maritime Logistics CML}{Hamburg, Germany}
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\item Set up the team's first Jenkins \textbf{CI/CD} pipeline with quality gates independently, bringing build automation to the group; also developed the SCEDAS crew-scheduling system (C\#, .NET, MS SQL, Entity Framework).
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\item Built containerized microservices (Express.js, \textbf{Docker}, SQLite) for MISSION, a Fraunhofer maritime data-exchange platform connecting ports, operators and research partners across the logistics chain.
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\end{rSubsection}
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% --- Vizrt (Jul 2017 -- May 2018) — VZ-1, VZ-2 ---
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\begin{rSubsection}{Distributed Real-Time Backend Engineering at Broadcast Scale}{\textcolor{black!60}{Jul 2017 -- May 2018}}{DevOps Engineer, Vizrt}{Bergen, Norway}
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\item Engineered distributed real-time video-transcoding backend components in \textbf{Python} (with legacy C++ modules) for Vizrt's broadcast platform, serving global media customers including CNN, BBC and Al Jazeera.
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\item Wrote an automated A/V integration and unit test suite in \textbf{Python} and wired quality gates into the \textbf{CI/CD} pipeline, which shortened the feedback loop for new features and raised release reliability.
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\end{rSubsection}
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% --- Generali (May 2015 -- Jun 2017) — GN-1, GN-3, GN-2 ---
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\begin{rSubsection}{Test Automation, CI/CD Ownership \& Java Backend}{\textcolor{black!60}{May 2015 -- Jun 2017}}{IT Consultant, Generali Deutschland Informatik Services}{Hamburg, Germany}
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\item Introduced BDD test automation to Generali (Serenity-BDD, Selenium, JBehave), ran the PoC and took technical ownership, administered Jenkins \textbf{CI/CD} jobs, and trained teams across the Java Community.
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\item Developed Java/J2EE features for the PIA-Postkorb workflow portal, migrated WebServices to the XLDeploy process, and contributed to an Apache Camel / Spring Boot dispatcher integration PoC.
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\item Pioneered UIPath RPA at Generali GDIS, building PoCs and serving as internal RPA contact for group companies, extending automation from test tooling into business process automation.
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\end{rSubsection}
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\end{rSection}
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\vspace{-0.15cm}
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%----------------------------------------------------------------------------------------
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% EDUCATION — FIXED
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%----------------------------------------------------------------------------------------
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\begin{rSection}{Education}
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{M.Eng.\ Computer Aided Engineering (Software Design \& Engineering)} \hfill {\textcolor{black!60}{Apr 2012 -- Oct 2013}}\\
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{Universit\"at der Bundeswehr M\"unchen}; thesis at Tongji University, Shanghai \hfill Thesis Grade: \textbf{1.0}\\
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{\small Thesis: \textit{Development of a Web-Based Remote Fault Diagnosis System} (Neural Networks, PSO, Fuzzy Logic)}
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{B.Eng.\ Information and Telecommunication Technologies} \hfill {\textcolor{black!60}{Oct 2009 -- Oct 2012}}\\
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{Universit\"at der Bundeswehr M\"unchen}, Munich, Germany
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\end{rSection}
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\vspace{-0.15cm}
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%----------------------------------------------------------------------------------------
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% CERTIFICATIONS & AWARDS — FIXED
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%----------------------------------------------------------------------------------------
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\begin{rSection2}{Certifications \& Awards}
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\item \textbf{AWS Certified Solutions Architect -- Associate}, Amazon Web Services (2024, active until Sep 2027).
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\item \textbf{Data Engineering with AWS Nanodegree}, Udacity (2026). AWS data pipeline architecture.
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\item \textbf{iSAQB CPSA -- Foundation Level}, iSAQB (2016). Certified Professional for Software Architecture.
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\item \textbf{ITIL Foundation Certificate in IT Service Management}, PEOPLECERT / AXELOS (2016).
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\item \textbf{IBM AI Engineering Specialization}, Coursera. Deep learning, TensorFlow, Keras, Apache Spark ML.
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\end{rSection2}
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\begin{center}
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\vspace{0.1cm}
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\textit{Languages: German (native), English (fluent)}
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\end{center}
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\end{document}
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