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About

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I am a cloud data engineer at Woodmark Consulting in Berlin, where I own production AWS environments end to end. My work spans Terraform-provisioned infrastructure, event-driven pipelines for recurring workloads, large-scale data migrations from legacy stacks to AWS-native architectures, and being the person who fixes things when they break.

Three cloud certifications across AWS and Databricks, one published article on AWS ETL patterns, and a computer science degree with a 1.0 thesis on machine learning for energy efficiency.

2025 · present

Consultant · Cloud Data Engineer

Woodmark Consulting GmbH · Berlin

Sole operational owner of multiple production AWS environments in a consulting setting. Terraform-provisioned infrastructure, event-driven pipelines on Lambda and Step Functions, and Bedrock agents integrated into a live analytics platform.

AWSTerraformStep FunctionsBedrockDocker / ECSPython
2024 · 2025

Associate Consultant · Cloud Data Engineer

Woodmark Consulting AG · Berlin

Operated a portfolio of AWS production processing workflows across multiple environments, with additional work on Azure Data Factory pipelines and PySpark jobs in Databricks.

AWS GlueAzure Data FactoryDatabricksPySpark
2022 · 2023

Working Student · Data Analyst / Data Scientist

Airbus Operations GmbH · Bremen

Automated recurring data preparation workflows in Python for a research department, with early exposure to GCP.

PythonGCP
2020 · 2023

BSc Computer Science · Thesis grade 1.0

Constructor University (formerly Jacobs University) · Bremen

Merit-based scholarship. Thesis: predictive modeling on device-level electrical load in office buildings, benchmarking LSTM networks against ensemble methods on large-scale IoT sensor data, graded 1.0, the highest distinction in the German grading system. Organised jacobsHack! 2021 sponsors and led technical coordination for TEDxJacobsUniversity 2022.

LSTMXAIIoT Data
aws · 3+ yrs prod
Lambda, S3, Step Functions, EventBridge, Glue, Athena, ECR/ECS, Bedrock, QuickSight, CloudWatch
infra & automation
Terraform (IaC), Docker, Git/GitHub, CI/CD workflows, Python scripting
operations
Event-driven distributed systems, production ownership and incident response, high-availability workloads, containerised deployments
other cloud
Azure (Data Factory, ADLS Gen2, Synapse, Azure DevOps), GCP
programming
Python (PySpark, pandas, numpy, Polars), SQL, Bash, Apache Spark, Databricks
languages
English C2 · German B2 / C1 · French A2 · Nepali C2

Most of my current work lives in private and internal repositories, so it is not fully reflected here.