München, 15.07.2025
Vladislav Vorobev¶
DevOps & Backend Engineer – Python | Linux | Data
Results-driven Python / DevOps engineer with 15+ years of experience designing, building, and operating platforms, data pipelines, and microservices across Automotive, E-Commerce, and IoT—ranging from start-up prototypes to enterprise systems. Proven track record of cutting processing costs, boosting test coverage, and migrating workloads between cloud and bare-metal. Hands-on with modern Dev methods while leveraging LLMs to accelerate code, tests, and documentation.
Competencies and Skills (Selected)¶
Languages: Python (Expert), Java, Groovy, JavaScript, C, Rust (learning) more with AI Tools.
Cloud & DevOps & Monitoring: Kubernetes, Docker, Terraform, Nomad, CI/CD (GitHub, GitLab, Jenkins); AWS (S3, Athena, Glue), Azure(Databricks, Blob), GCP (GKE, Cloud Storage), Hetzner, Prometheus, Grafana
Data, Big‑Data, ETL: Spark/pySpark, Delta Lake, Kafka, Airflow, Pandas, SQL (PostgreSQL, MySQL, MariaDB) & NoSQL (MongoDB)
Testing/Quality: unittest, pytest, CodeQL, SonarQube, Sentry, OpenTelemetry, Behave, Robot
Domain: Automotive, Telematics, IoT/Sensors, Battery, Audit & Compliance, E‑Commerce
Professional Experience (Selected)¶
DesignWeltDeko – Full‑Stack Software Developer
12/2024 – 08/2025, Munich (consulting)
Company: DesignWeltDeko, Role: IT Consulting / Software Developer / Full Stack; Type: Consulting Project
Business IT consulting by introducing modern tools and automation (Development, ETL, Deployment, Monitoring)
Led the integration of an e-commerce platform based on Shopify, utilizing Liquid templates for frontend customization
Developed a custom product management system with real-time synchronization to Shopify, enabling seamless updates of products and images
Implemented customer service features and integrated marketplaces such as eBay, Etsy, Amazon, PWA JavaScript App
Deployed a Kubernetes (K8s) environment to host core services, including image storage and an internal ERP system
Set up metrics collection and monitoring in a self-hosted cluster using Prometheus and Grafana
Worked on internal and consumer-facing AI agents (RAG, vector databases, OpenAI)
Coached new team members (Concepts, Using LLMs)
- Tech Stack:
APIs: REST, GraphQL (Shopify, Etsy, Amazon, Ebay, etc.)
Languages & Tools: Python, Pandas, PydanticAI, PyArrow, SQL, Excel, CSV, JSON, FastAPI, DAG, RAG
AI/ML: LLM, LangChain, FAISS, OpenAI, RAG, PydanticAI, LLM Agents
DevOps & Infrastructure: Linux (dist: Debian and Apline), Docker, Kubernetes (Calico, MetalLB, Ingress-Nginx), Hetzner + On-Prem, Aiflow
Monitoring & Messaging: Prometheus, Grafana, Kafka, Celery
Testing & Automation: PyTest, Behave
IDEs: Zed, Cursor, VSCode; Other Tools: Google Analytics/Merhant/Ads etc., Printing systems
SAP SE – Software Engineer, Automated Audit Framework
06/2024 – 12/2024, Walldorf (consulting)
Delivered new compliance features and upgraded codebase to newest Python.
Refactored legacy modules, shrinking lines‑of‑code while raising performance.
Tech: Pyramid, FastAPI, REST, OAuth PostgreSQL, MinIO, Docker, GCP, Kubernetes.
Mercedes‑Benz AG – Senior Python Developer
01/2023 – 05/2024, Stuttgart (permanent)
Optimized micro-service applications for battery test data analysis and executed cloud migration.
Migrated battery-test analytics to Azure Blob and Databricks, cutting processing time 40 %.
Unit test coverage from 60 % to 90 %.
Tech: Python, FastAPI, Pydantic, Pandas, Arrow, Delta Lake, Kubernetes, Azure (MIC/eXtollo internal clouds).
SAP SE – Lead Dev, Distributed Self‑Audit Platform
05/2019 – 12/2022, Walldorf (consulting)
Architected micro‑services ecosystem collecting audit data from 30+ SAP business units.
Implemented MinIO‑based storage ingestion handling 12 TB/day with 99.95 % uptime.
Designed PostgreSQL schema & tuning; backup.
Tech: Python, asyncio, Kafka, MinIO, Kubernetes, AWS/GCP.
Skoobe GmbH – Big Data Engineer (Python/Java)
05/2018 – 12/2021, Munich (consulting)
Ported monolith services from Python 2.7 and Java to modern async Python 3 micro-services; shaved 25 % latency.
Built GraphQL gateway consolidating 3 legacy APIs; reduced maintenance effort 30 %.
Supported migration to AWS, automated CI/CD with Jenkins and Terraform.
Tech: Python, Java, FastAPI, GraphQL, AWS, Jenkins, Nomad, Terraform.
MAN Truck & Bus AG – Backend Developer (Data Processing)
01/2018 – 05/2020, Munich (consulting)
Processed terabytes of CAN‑Bus data in AWS S3 using pySpark; enabled real‑time safety alerts.
Automated data classification pipeline; cut manual effort significantly.
Tech: Python, Spark, S3, Parquet, AWS Glue, Airflow.
Mozaiq Operations GmbH – IoT Dev & DevOps Engineer
01/2016 – 12/2018, Munich (consulting)
Developed a backend platform for IoT interconnectivity.
Built cloud connectors for Bosch/Siemens and Osram etc; increased device coverage 4×.
Deployed Vert.x micro‑services on GCP Kubernetes; achieved 99.9 % SLA.
Tech: Groovy, Java, Vert.x, GCP, Kubernetes, MongoDB.
Earlier Consulting & Leadership (2009 – 2015)
Team Lead, Head of IT roles, E‑Commerce platform builds, GIS startup; details on request.
Education¶
Dipl.-Ing. Elektrotechnik (Informationstechnik) – TH-Köln, 2009
Languages¶
German (native) | English (fluent) | Russian (native)
Detailed project portfolio and client references available on request.
