Project Experience

Flask Web Application Development

Independent Project | Jan 2025 - Feb 2025

Developed a scalable, containerized web application using Flask for efficient content management
Implemented modular architecture deployed on k3s Kubernetes on AWS EC2
Established GitOps workflow with ArgoCD and GitLab CI/CD for automated deployments
Achieved high software quality through pytest and Selenium testing
Managed infrastructure as code using Terraform and Ansible for reproducible deployments

Python/Flask AWS EC2 Terraform Ansible Docker/Podman Kubernetes (k3s) GitLab CI/CD HTML/CSS/JS Bootstrap Selenium ArgoCD

Media Impact, Berlin | Feb 2024 – Dec 2024

Developed a scalable chatbot using Azure OpenAI and Microsoft Bot Framework with RAG
Implemented multi-stage LLM pipeline (Condense, Chunk, Classify, Compose) for precise responses
Deployed cloud-native microservices architecture with AWS Lambda, EKS, and API Gateway
Established IaC with Terraform and GitLab CI/CD for automated deployments
Set up comprehensive monitoring with Grafana, Prometheus, and CloudWatch

Python Azure OpenAI Bot Framework AWS Lambda/EKS Kubernetes Terraform Ansible GitLab CI/CD Grafana Prometheus

National News Media & Tech (Axel Springer), Berlin | Nov 2023 – Jan 2024

Built high-performance real-time anomaly detection for ad delivery using Kafka and AWS Timestream
Developed stream processing applications with millisecond-level latency in Go
Implemented automated alerting via Microsoft Teams and AWS SNS for immediate notifications
Optimized event-driven architecture to significantly reduce detection time of performance issues
Established CI/CD pipeline with GitHub Actions for reliable deployment process

Go Kafka (MSK) AWS Timestream Microsoft Teams Kubernetes GitHub Actions AWS SNS

Media Impact, Berlin | Jan 2023 – Oct 2023

Successfully integrated Direct Business data with Programmatic Data Lake after previous failed attempts
Led data lake integration using AWS EMR, Spark, and Scala for financial and booking data synchronization
Collaborated with product and finance teams to resolve SAP pricing discrepancies with Xandr
Developed automated data validation with AWS Glue, Lambda, and CloudWatch
Implemented data governance strategies and GDPR-compliant retention policies

AWS EMR Spark Scala AWS Glue Lambda SAP Step Functions

Axel Springer Brand Studios, Berlin | Jan 2022 – Dec 2022

Developed scalable ETL pipeline integrating data from 10 platforms (Adobe, AdUp, LinkedIn, etc.)
Implemented serverless architecture with CloudFormation, Step Functions, EMR, and Spark
Created CI/CD pipelines with GitHub Actions and AWS SAM for efficient development cycles
Developed interactive Tableau dashboards with VizQL and custom visualizations
Reduced monitoring time by 80% with automated workflows and real-time data processing

AWS Serverless CloudFormation Step Functions Spark DynamoDB S3 GitHub Actions Tableau Python

Media Impact, Berlin | Jul 2021 – Dec 2021

Migrated ETL processes from EC2 to AWS Lambda and Step Functions for improved scalability
Shifted large data processing to AWS EMR with Apache Spark for better parallel data processing
Achieved 82% reduction in AWS costs through serverless optimization
Implemented AWS SAM with Terraform and Ansible for consistent infrastructure management
Enhanced logging and monitoring with CloudWatch for early identification of performance issues

Lambda Step Functions EMR Spark SAM Terraform Ansible CloudWatch

Media Impact, Berlin | Jun 2020 – Jul 2021

Developed 5 custom monitoring dashboards for various business departments
Created interactive Tableau dashboards with LOD calculations and custom visualizations
Increased programmatic revenue by 3% through detailed data analysis
Built automated workflows and CI/CD pipelines for reliable dashboard updates
Implemented RESTful API integrations with Xandr and Google using Python

Tableau Python pandas numpy SQL GitHub Actions AWS

Media Impact, Berlin | Feb 2020 – May 2020

Managed AWS IAM policies enforcing least privilege security principles
Implemented cost monitoring with AWS Anomaly Detection and Cost Explorer
Designed multi-account AWS architectures using Organizations, SCPs, and IAM roles
Applied AWS Well-Architected Framework for scalability, security, and cost efficiency
Automated infrastructure testing with pytest and Terraform test modules

AWS IAM Organizations Cost Explorer Kubernetes Terraform pytest

Die Welt, Berlin | Sep 2019 – Jan 2020

Developed automated real-time SEO ranking monitoring system with Python and Selenium
Implemented web scraping techniques for efficient extraction of ranking positions
Created proxy rotation solution to avoid IP blocking and improve reliability
Provided real-time tracking to monitor keyword performance and SEO strategies
Improved website visibility through timely adjustment of SEO strategies

Python Selenium Web Scraping AWS Git