Thi Bich Lien Nguyen

DevOps & Platform Engineer

I build systems that connect software, infrastructure and data.

Frankfurt am Mainthi.bich.l.nguyen@gmail.com
nguyenthibichlien.comlinkedin.com/in/nguyen-thi-bich-liengithub.com/lien-nguyen
Portrait of Thi Bich Lien Nguyen

Profile

DevOps & Platform Engineer with a data-engineering background and hands-on experience building and operating internal platforms, containerized application environments and CI/CD workflows. Strong in Linux, Docker, GitLab CI/CD, Ansible, Python/Django and PostgreSQL, with a focus on automation, reproducibility, lifecycle-driven systems and operational traceability. Comfortable working across software delivery, infrastructure, data and business processes.

Core Stack

DevOps
Linux/Ubuntu, Docker, GitLab CI/CD, GitLab Runner, Ansible, Bash, SSH, deployment automation
Platform
Python, Django, PostgreSQL, REST APIs, domain/lifecycle modelling, auditability, service integrations
Data / Cloud
SQL, Airflow, dbt, Jupyter, AWS (EC2, Redshift, RDS), Hetzner Cloud
Quality
pytest, automated test suites, SonarQube, technical documentation, code review
Foundational
Kubernetes, Terraform - training/project exposure
Current Focus
Prometheus/Grafana and deeper Kubernetes/Terraform practice
Languages
Vietnamese native, German fluent, English fluent
Work Style
Automation, platform thinking, reproducible environments, business-to-technical translation

Professional Experience

DevOps Engineer

Gartenbau-Versicherung VVaG · Frankfurt/Rhein-Main · Hybrid

  • Designed and built an internal production platform end-to-end, transforming previously manual and Word-based IT operations processes into structured, traceable digital workflows.
  • Evolved the platform across multiple business processes with request lifecycle management, immutable history, two-stage approval workflows, validation, deduplication and audit-ready traceability.
  • Grew the platform to approximately 81,300 lines of code, supported by around 2,220 automated tests, 86% code coverage and a SonarQube Maintainability Rating A.
  • Established the engineering foundation around the application, including GitLab CI/CD, automated testing, security and quality controls, containerized development workflows and controlled production deployment.
  • Introduced Engineering Governance and Production Provenance to make engineering decisions, code changes, deployments and production state increasingly transparent, verifiable and traceable.
  • Designed enterprise integration patterns including OTOBO synchronization, API abstraction layers and transaction-safe external-system interactions, while building reusable platform components for multiple business domains.
  • Took ownership beyond application development into production operations, environment separation, operational automation, runtime verification, technical documentation and ADR-based architectural decision records.
  • Developed an Engineering Report to consolidate technical and operational evidence and provide visibility into the state of the production system.

Data Analyst

Gartenbau-Versicherung VVaG

  • Advocate for scalable BI architectures, open-source technology stacks, agile methodologies and infrastructure automation.
  • Identified critical architectural requirements for a modern, scalable enterprise data warehouse shortly after onboarding and delivered a strategic technical proposal based on open-source toolsets and Pipeline-as-Code principles.
  • Designed and executed an initial Proof of Concept in the insurance claims domain over an 8-week sprint, including a containerized Docker environment, relational data models, robust CI/CD pipelines and a strategic roadmap for automated ETL orchestration.
  • Engineered a follow-up Proof of Concept in December 2024 demonstrating end-to-end orchestration via Apache Airflow with 3 production DAGs.
  • This architectural validation influenced the company’s executive decision in February 2025 to transition to a modern open-source core infrastructure stack based on PostgreSQL, GitLab and Airflow.
  • Spearheaded the technical and structural layout of the open-source DWH pipeline ecosystem, prioritizing data transparency, workflow reproducibility and long-term maintainability.
  • Engineered internal and regulatory compliance reporting layers and delivered advanced ad-hoc data analysis.
  • Partnered with cross-functional departments to provide data-driven solutions supporting strategic reporting and leadership decision-making.
  • Provided IT first-level data support and technical guidance across multiple operational business teams.

Selected Engineering Projects

Website Studio Personal project 2026

Reusable Django/PostgreSQL platform behind nguyenthibichlien.com, with structured content, multi-site composition and lifecycle-driven commercial capabilities. Deployed and operated on Hetzner Cloud using Docker, Traefik, TLS and production backup/restore practices.

Build2Teach Engineering Infrastructure Independent learning platform 2026

Self-hosted GitLab CE and Runner on an Ubuntu VPS with Docker and SMTP, supporting repositories, issues, merge requests and CI/CD workflows for a project-based DevOps mentorship environment.

Speaking

When a Django Website Becomes a Platform

Django Day Copenhagen 2026 · Conference Talk

How a personal Django website evolved into Website Studio through domain modelling, lifecycles and reusable platform capabilities.

Selected Hackathons

#WirVsVirus Hackathon · CoronaBibliothekar

Rasa · Telegram · Facebook Messenger · Twilio

Core team contributor for CoronaBibliothekar, a Rasa-based chatbot designed to provide reliable COVID-19 information through messenger interfaces. Contributed to programming and testing during the #WirVsVirus Hackathon.

Earlier Experience

Business Intelligence Analyst

trendtours Touristik GmbH · Frankfurt, Hesse, Germany

  • Built dashboards and an automated reporting system to control and measure data-driven multichannel marketing campaigns and analyse the performance of different marketing channels using transactional and web-tracking data.
  • Worked on the development of a customer-loyalty scoring model using Python, dbt, SQL and Git. Analysed the performance of an existing ML model and delivered recommendations for improvement.
  • Contributed to the development of a new ML model that was subsequently placed into production and passed A/B testing.
  • Worked on an analytics web application integrating an ML model using Dash/Plotly, Python and SQL, including frontend design improvements and new frontend functionality built with Dash/Python.
  • Developed a mailing-scoring concept to predict customers likely to purchase within the next 90 days.

Data Analyst

Cheil Germany GmbH · Schwalbach, Hesse, Germany

  • Created dashboards and weekly/monthly performance reports for different business areas of SamsungZeil and delivered results to Samsung stakeholders.
  • Conducted data analysis and delivered recommendations for improvement based on the results.
  • Conceptualized and created a data warehouse design and implemented it using Python, SQL and Amazon Redshift / RDS.

Machine Learning Engineer

axxessio GmbH · Darmstadt, Hesse, Germany

  • Set up hardware for the Voice Lab, identified improvement potential and wrote documentation for software and hardware testing.
  • Developed concepts for voice-assistant use cases and a voice prototype using NLP/Python.
  • Developed and implemented a chatbot using the Rasa framework in Python.

Research Assistant (Wissenschaftliche Hilfskraft)

Westfälische Hochschule · to Prof. Dr. Klaus Thiel

Data Science / Predictive Analytics

Data Science Intern

REWE Group · Cologne Bonn Region

  • Conducted analysis of cause-and-effect relationships between target and training features.
  • Used statistical techniques to evaluate time-series forecast metrics.
  • Analysed promotion and price effects, based on which new training features were constructed.
  • Performed outlier detection analysis comparing predicted versus actual sales.

Earlier career (2006 - 2016): international management, marketing, project coordination and multilingual stakeholder support in Germany and Vietnam.

Education

Computer Science · Akademiestudium (Guest Student)

FernUniversität in Hagen

M.A. Service Management · Grade 1.3, Master’s Thesis 1.0

Westphalian University of Applied Sciences, Bocholt

Specializations: Business Intelligence, Data Mining & Predictive Analytics

Master’s Thesis: Theorie, Anwendung und vergleichende Analyse von Klassifikationsverfahren zur Kreditwürdigkeitsprüfung

B.A. International Management

Westphalian University of Applied Sciences, Bocholt

Specializations: Strategic Management, Marketing

B.A. German Studies

University of Social Sciences and Humanities, Vietnam

Awards & Recognition

Lorenz-Weegen-Preis

Westphalian University of Applied Sciences

Award for the outstanding Master’s thesis on classification methods for creditworthiness assessment.

Professional Development

Ansible Schulung

Linuxhotel, Essen

Post Graduate Program in DevOps

Edureka in collaboration with Purdue University · Completed August 2025

Practical DevOps training and project work covering Linux, Docker, CI/CD, Ansible, Kubernetes and Terraform.

Building Generative AI-Powered Applications with Python

Coursera · Issued July 2024

Generative AI for Data Scientists Specialization by IBM

Coursera · Issued June 2024

Additional Training

Additional

Technology Mentor, H_Ventures Startup Program (2023)
Interests: platform engineering, Linux automation, clean architecture, data systems, open-source engineering