dennisthiessen
dd2f0308c5
Observability-spine framing: Bosch telemetry/observability PoC promoted to lead, Swisscom Iceberg lakehouse + on-call/RCA. Real Ashby JD (verbatim). Tier 1+2 critique fixes applied; Vizrt low-latency skipped per user. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
164 lines
12 KiB
TeX
164 lines
12 KiB
TeX
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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 $\vert$ Zurich on-site / hybrid}
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\address{{Senior Software Engineer $\vert$ Backend Data Platform $\cdot$ Observability $\cdot$ Reliability $\vert$ Python $\cdot$ Java $\cdot$ AWS}}
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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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Software engineer with 11+ years building and owning production data and telemetry pipelines end-to-end. I own the Fulfillment and Product Analysis data pipelines at Switzerland's largest telco (Oracle and \textbf{Kafka} ingestion, Teradata, \textbf{AWS} S3/Glue/Athena with \textbf{Apache Iceberg}, \textbf{Airflow}) under on-call SLA, and earlier built observability and anomaly-detection tooling (\textbf{ELK}, Kafka, \textbf{Grafana}, \textbf{Prometheus}, Loki) for a 24/7 Bosch fab. I work across distributed backend systems with \textbf{Python} and \textbf{PySpark}, ship services on Kubernetes, and carry root-cause analysis under SLA. Python expert and polyglot (Java, C++); AWS Solutions Architect; currently learning \textbf{Go}.
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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}{Data Platform, Observability \& Distributed Systems}
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\skilldash{\textbf{Kafka}, \textbf{Airflow}, \textbf{PySpark} / Apache Spark, \textbf{Apache Iceberg}, Parquet, Hadoop / ImpalaSQL, ETL/ELT pipeline design, data lakehouse}
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\skilldash{Observability \& telemetry: \textbf{ELK Stack} (Elasticsearch / Logstash / Kibana), \textbf{Grafana}, \textbf{Prometheus}, Loki, monitoring, alerting}
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\skilldash{High-throughput ingestion, batch and stream processing, distributed systems, columnar storage, backfills, schema evolution}
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\skilldash{\textbf{SQL} (Oracle $\cdot$ Teradata $\cdot$ Impala $\cdot$ Postgres), query optimization, data modeling, partitioning, data lineage}
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\end{skillgroup}
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\begin{skillgroup}{Cloud-Native Infrastructure \& Reliability}
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\skilldash{\textbf{AWS} (S3, Glue, Athena/Iceberg, \textbf{Redshift}, Lambda, Step Functions, \textbf{Airflow}, CloudFormation); GCP (transferable)}
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\skilldash{\textbf{Kubernetes}, \textbf{Docker}, Ansible, GitLab CI/CD, Jenkins, Infrastructure as Code, serverless}
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\skilldash{SLOs, SRE practices, SLA / on-call ownership, incident response, root-cause analysis, pipeline reliability}
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\end{skillgroup}
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\begin{skillgroup}{Programming Languages \& APIs}
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\skilldash{\textbf{Python} (expert), \textbf{Java} (strong), SQL, C++ (Vizrt, legacy), C\#, JavaScript / TypeScript, Bash; \textbf{Go} (learning)}
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\skilldash{REST APIs, FastAPI / Flask, Express.js, OpenAPI, data structures \& algorithms, software design patterns}
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\end{skillgroup}
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\begin{skillgroup}{Data Mesh, Governance \& AI-Assisted}
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\skilldash{Data Mesh, data products, metadata, data catalog, data governance, data quality, data validation}
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\skilldash{ML inference deployment / MLOps; AI-assisted development (Copilot, LiteLLM, custom GPTs, Kiro)}
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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 until Sep 2027), Data Engineering with AWS (Udacity)}
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\skilldash{iSAQB CPSA -- Foundation Level (software architecture), ITIL Foundation; 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) — 6 bullets: SW-2, SW-1, SW-7, SW-3, SW-6, SW-4 ---
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\begin{rSubsection}{Backend Data Platform, Lakehouse \& Pipeline Reliability}{\textcolor{black!60}{Oct 2023 -- Present}}{Staff Data, Analytics \& AI Engineer, Swisscom (Schweiz) AG}{Bern, Switzerland}
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\item Owned Fulfillment and Product Analysis data pipelines end-to-end (Oracle, \textbf{Kafka} to Teradata in \textbf{Python}) as Component Owner, carrying on-call SLA, root-cause analysis and governance for telecom-scale flows.
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\item Migrated my domains' Teradata/Oracle ETL stack to a cloud-native \textbf{AWS} lakehouse (S3, Glue, Athena with \textbf{Apache Iceberg}, \textbf{Redshift}, \textbf{Airflow}, CloudFormation), moving batch ETL off Teradata onto serverless S3 and Glue.
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\item Modeled governed data products with metadata and lineage within Swisscom's company-wide Data Mesh on \textbf{AWS} (Glue, Athena, CI/CD), the data foundation that downstream analytics and AI/agentic workflows query.
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\item Designed, deployed and operate \textbf{Python} backend data services and APIs on \textbf{Kubernetes} with GitLab CI/CD, owning containerized delivery from build and test through production rollout under on-call duty.
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\item Built distributed data processing with \textbf{PySpark} across the Swisscom Data Lake, scaling \textbf{Python} and \textbf{SQL} pipelines to high-throughput batch workloads over large Fulfillment and Product Analysis datasets.
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\item Delivered data products for B2B stakeholders and drove \textbf{Python} automation plus 3rd-level root-cause analysis under on-call SLA, keeping large-scale pipelines reliable and observable for downstream consumers.
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\end{rSubsection}
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% --- Bosch (Feb 2020 -- Dec 2022) — 4 bullets: BS-4 (LEAD, observability), BS-2, BS-1, BS-3 ---
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\begin{rSubsection}{Observability, Telemetry Pipelines \& Production Data Services}{\textcolor{black!60}{Feb 2020 -- Dec 2022}}{(Senior) Data Engineer, Robert Bosch Semiconductor Manufacturing}{Dresden, Germany}
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\item Built an observability and anomaly-detection proof of concept (\textbf{ELK} with \textbf{Kafka}, \textbf{Grafana}, \textbf{Prometheus}, Loki) for 24/7 semiconductor production, centralizing log and metric ingestion with dashboards and alerting.
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\item Developed data services in \textbf{Python}, \textbf{Java} and C\# over OracleDB and Hadoop/ImpalaSQL, optimizing query performance over large columnar datasets for semiconductor defect-management and process-optimization teams.
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\item Containerized and orchestrated \textbf{ML inference} (\textbf{Docker}, \textbf{Kubernetes}, Ansible) into Bosch's 24/7 fab, automating image-based defect classification across 300mm wafer lines with no production downtime.
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\item Served as Application Owner for the semiconductor analytics suite and upstream pipelines, defining SLOs, managing vendors, and delivering code review, training and docs across cross-functional fab operations teams.
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\end{rSubsection}
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% --- Fraunhofer (Sep 2018 -- Oct 2019) — 3 bullets: FC-3, FC-1, FC-2 ---
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\begin{rSubsection}{Distributed Services \& Applied ML Engineering}{\textcolor{black!60}{Sep 2018 -- Oct 2019}}{Research Software Engineer, Fraunhofer-Center for Maritime Logistics CML}{Hamburg, Germany}
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\item Built microservices and \textbf{REST APIs} (Express.js, \textbf{Docker}, SQLite) for MISSION, a Fraunhofer maritime data-exchange platform, enabling structured data interchange across ports, operators and research partners.
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\item Independently set up the team's first Jenkins CI/CD pipeline with quality gates and build automation, and developed the SCEDAS crew-scheduling system (C\#, .NET, MS SQL Server, Entity Framework).
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\item Contributed \textbf{ML} and NLP components to ARTUS, a Fraunhofer research project for automatic sea-rescue speech transcription, applying speech recognition and machine learning in a safety-critical maritime domain.
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\end{rSubsection}
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% --- Vizrt (Jul 2017 -- May 2018) — 2 bullets: VZ-1, VZ-2 ---
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\begin{rSubsection}{Distributed Real-Time Backend at Broadcast Scale}{\textcolor{black!60}{Jul 2017 -- May 2018}}{DevOps Engineer, Vizrt}{Bergen, Norway}
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\item Engineered \textbf{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 Built an automated integration and unit test suite for A/V streaming in \textbf{Python} and integrated quality gates into the CI/CD pipeline, which shortened the feedback loop and raised release quality.
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\end{rSubsection}
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% --- Generali (May 2015 -- Jun 2017) — 3 bullets: GN-1, GN-3, GN-2 ---
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\begin{rSubsection}{Build Automation, CI/CD \& 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 at Generali (Serenity-BDD, Selenium, JBehave), running the initial PoC and taking technical ownership, then trained teams and presented the methodology to the Java Community.
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\item Developed \textbf{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 (KB-corrected dates)
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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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