Freelance Data Engineer / Architect

Designed and implemented a scalable data lake on Google Cloud Platform (GCP) for the Anti-Financial Crime (AFC) division, supporting Anti-Money-Laundering and Counter-Terorrism-Financing initiatives. Led a small engineering team and built robust data pipelines for ingesting and processing high-volume financial data, including over 30 million daily transactions from retail and corporate banking. Delivered analytics and regulatory reporting solutions for multiple international locations, including Germany, Singapore, Sri Lanka, Hong Kong, Taiwan, and Thailand. Collaborated closely with global teams to ensure data quality, compliance, and performance.

• Technologies:**
• Cloud: Google Cloud Platform (GCP)
• Data Processing Technologies: Apache Spark (Dataproc - Python PySpark), Apache Airflow (Cloud Composer - Python API)
• Data Storage Technologies: Google Cloud Storage
• Data Warehouse: BigQuery
• CI/CD and Infrastructure as Code: GitHub Actions, Terraform
• Container Orchestration: Google Kubernetes Engine (GKE)

Developed an automated, highly available near-real-time system for monitoring and evaluating deliveries across Europe.

• Technologies:**
• Cloud: Azure DevOps, Azure DataFactory, Azure Data Lake
• Data Processing Technologies: Apache Spark (Python PySpark via Databricks)
• Data Storage Technologies: Apache Kafka, Apache Hive, Delta Lake, ADLS Gen2, Unity Catalog / Databricks SQL, Microsoft SQL Server
• Streaming Technologies: Apache Kafka
• CI/CD: Azure DevOps Pipelines
• Business Intelligence: Microsoft PowerBI
• Infrastructure as Code: Terraform

Freelance Backend Developer at a state-owned bank, working on a platform for smart contract analytics. Developed components for automated contract analysis and document generation. Integrated raw machine learning models into production workflows.

• Technologies:**
• Webservices and REST-APIs: Spring-Boot, Python Flask, various Python libraries for PDF feature extraction and generation
• Managed Services: MinIO & S3 Storage, Postgres Database, Keycloak User Authentication
• Automation and Orchestration: Kubernetes, Docker-Compose, GitActions for Continuous Integration & Deployment

Completed two freelance projects focused on financial market analysis and investment strategy development. Collected and integrated data from third-party providers and crawled financial data from various websites. Built distributed data storage infrastructure using PostgreSQL, MongoDB, and Neo4j, connected to an Apache Spark processing cluster. Developed an end-to-end data pipeline and implemented a software environment for backtesting and portfolio rebalancing. Created a scalable and user-friendly web application for strategy selection and simulation. Also took over the role of Scrum Master, managing agile workflows and facilitating team coordination.

• Technologies:**
• Data collection: Third Party REST APIs, WebCrawling using Python–Scrapy and Python-BeautifulSoup
• Clustered Data Storage: Postgres, Neo4J, Sharded MongoDB, Cassandra
• Data Analysis and Processing: ApacheSpark, Python–Pandas
• Websites and REST APIs: Python–Django, Python–Flask
• Automation and Orchestration: Kubernetes, Docker-Compose, Jenkins for Continuous Integration & Deployment