About Me

Senior Software Engineer (Senior Digitalisation & Data Specialist) — The Boston Consulting Group GmbH January 2024 – Present • DUS, Germany

Leading the development of cloud-native applications using modern frameworks and best practices. Mentoring junior developers and driving technical decisions for large-scale projects.

Key achievements:

• Significantly reduced personnel cost overhead for payroll and finance teams by having developed more than 30 applications and integrations currently used by more than 50 team members across Central Europe.
• Built range of custom Python libraries and wrappers used by the dev team for local development.
• Developed and architected secure ETL integration between Snowflake and MSSQL covering the needs for sensitive data for all business service teams in Germany, Austria and Central Europe offices.
• Successfully overtook and refactored legacy code bases for more than 50 applications to uphold to modern standards
• Been leading and mentoring team of 3 developers, setting code standards, conducting regular teaching sessions and representing the team.
• As part of European GenAI enablement team, created and been developing different GenAI solutions: GenAI Accuracy Booster.

Technologies: Python, Microsoft SQL Server, Apache Airflow, JFrog, Hashi Vault, Docker, Postman, Confluence, Jira, Alteryx.

Software Engineer (Digitalisation & Data Specialist) — The Boston Consulting Group GmbH August 2021 – January 2024 • DUS, Germany

Assistant — The Boston Consulting Group GmbH July 2019 – August 2021 • VIE, Austria

Assistant — SpiritsUp October 2018 – July 2021 • VIE, Austria

• Prevented more than 50% costs increase of accounting services by developing integration between Zoho ERP and BMD NTCS.
• Developed a purchase order forecasting tool that significantly reduced procurement costs and out-of-stock incidents by enabling more accurate and proactive inventory planning.

Technologies: Python, JavaScript, Zoho.

Education:

Open Access Study FernUniversität in Hagen • 2025-current Informatics, Statistics & Mathematics Master of Science

Master of Science University of Vienna • 2018-2023 International Business (Controlling) - Graduated with distinction

Bachelor of Arts Lauder Business School • 2014-2017 International Business (Finance) - Graduated with merit

Certifications:

• MIT Professional Education
  • Cloud & DevOps: Continuous Transformation • 2025
• Microsoft Certified
  • Azure Fundamentals • 2024

Notable Projects

Nextplore (Solo-Project / WIP - only implemented features listed)

• Built and architected a secure, multi-tenant SaaS platform that enables users to connect to various databases (PostgreSQL, MySQL, Snowflake, MSSQL) and interact with them without writing SQL.
• Developed an AI-powered engine that crawls database schemas, transforms metadata into vector embeddings, and dynamically generates ORM models using RAG enabling abstract, human-like querying via DBAPI.
• Architected and built both simple cloud-agnostic and range of IAM cloud-native authentication methods with most popular cloud platforms: GCP, AWS and Azure.
• Designed and implemented full-stack architecture: FastAPI backend, TypeScript frontend with MFA, and modu- lar microservices (integration, vector, ORM generator and embedding) deployed efficiently via Docker composers.
• Enabled enterprise-grade security with MFA, tenant and microservices isolation, secrets management (e.g., per- tenant credentials), and secure metadata indexing with RLS.
• Integrated with a range of inference providers from Hugging Face and OpenAI to enable embedding and gener- ative LLM capabilities for database integration metadata retrieval and semantic embedding of user queries.
• Designed pydantic-based contracts and enabled structured LLM output control for metafactory dispatching.
• Integrated with QDrant vector database for fast vector RAG search.
• Built an event-driven architecture through Kafka with language-agnostic AVRO schema registry in Confluent for asynchronous event handling shared between microservices.
• Reduced latency from 5s to <10ms by identifying bottlenecks through the integration of Prometheus.
• Secured the tenants’ data by implementing envelope encryption per vendor with Azure Key Vault.
• Enabled efficient and secure 3-level caching strategy with in-memory cache and Redis by ensuring namespace isolation and middleware with client credentials validation in each microservice.

Workday/MSSQL Integration (Solo-Project / BCG Proprietary)

• Designed and implemented a secure, scalable ETL pipeline ingesting Snowflake HR data from 13 APIs into MSSQL data lake.
• Enabled contract-based relationship with API providers via implementation of codegen, json patching and dynamic DTO generation from openapi.yaml.
• Configured postman workspace for theam including environment, collections and flows to quickly navigate, test and gather API data.
• Built async batch orchestrator with retry logic, CPU-optimized domain model conversion, and full encryption using Always Encrypted On (AKV-integrated).
• Integrated with Apache Airflow for scheduling and task dependencies management.
• Created CI/CD pipeline (GitHub Actions, SonarQube, Veracode, Octopus, Helm), achieving < 15 min deployment time and 0 manual steps.
• Enabled detailed logging using Datadog (for app-level logs) and Splunk (for database monitoring) integration.
• Integrated secrets via Hashi Vault with AWS role and hardened containers for Airflow execution.
• Redesigned legacy stored procedures, database structure, applications and scripts to enable encryption at-rest.
• Architected secure access from tools to encrypted data by introducing interactive RBAC through AD to cloud- hosted AKV and client-credentials access in background jobs.
• Enabled ∼700k records/day throughput and reduced failure rate by > 90%.
• Delivered full documentation and troubleshooting guide (ODBC, AE, encryption tracing).
• Project now serves as the blueprint for secure, production-grade ETL pipelines at scale.

Volunteering & Social Impact

PyGirls as a curriculum writer, I develop and design an advanced Python OOP course introducing the girls to the beauty of pythonic objects and metaprogramming.