Data & AI Architect with 14+ years of experience in cloud, MLOps, and GenAI, leading data platforms, greenfield AI projects & analytics for energy, airline.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
apache-fluss-demo-project
June 13, 2026 – Present
apache-fluss-demo-project — GitHub repository
View Projectpixel-tracking-lab
April 19, 2026 – Present
Pixel Tracking Lab is a hands-on Dockerized project that shows how web tracking works end to end, from browser events and 1x1 image pixels to UTM capture, PostgreSQL storage, and Metabase dashboards.
View Projecthandle-pii
April 3, 2026 – Present
python pii privacy gdpr data-anonymization masking tokenization k-anonymity data-engineering security
View Projectpy-env-management
December 21, 2025 – December 21, 2025
This repo has one tiny app (demo/main.py). It prints the method name, Python version, paths, and versions of requests + rich. Set ENV_METHOD=<name> when you run it so the output is labeled.
View Projectduckdb-gx-docker-lab
November 15, 2025 – November 15, 2025
A simple local lab to learn ETL and data quality using DuckDB and Great Expectations. Runs fully in Docker and perfect for beginners to try and explore.
View Projectdata-vault-modelling
October 17, 2025 – October 18, 2025
Data Vault 2.0 made simple. This project uses a fashion retail example with dbt, PostgreSQL, and Grafana to explain hubs, links, satellites, PIT, and marts showing how Data Vault builds flexible, auditable, and scalable data warehouses.
View Projecticeberg-minio-spark-playground
August 16, 2025 – August 22, 2025
A hands-on playground for Apache Iceberg with MinIO and Spark, showcasing modern data lakehouse concepts. Includes Docker setup, sample data, and SQL queries to explore table versioning, schema evolution, and analytics workflows.
View ProjectDataOps-Animal-Nutrition
July 27, 2025 – August 22, 2025
Learn DataOps by building a complete data pipeline with Airflow, dbt, PostgreSQL, and Grafana using real-world animal nutrition data. Automate, monitor, and understand DataOps principles with hands-on examples and CI/CD integration.
View Projectscala_essentials_linkedin
September 24, 2017 – July 11, 2025
Built a small Energy Analytics project using dbt, PostgreSQL, and Grafana. It analyzes smart meter data (energy usage, voltage, cost) using dbt models and visualizes key metrics via Grafana. Seeded sample data, applied tests, and built clean data layers — all Dockerized for easy setup.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on personal projects, showcasing a strong drive for self-learning and exploration in data engineering and data science domains. The diversity of tools and concepts explored (DataOps, data quality, data lakehouse, data vault, PII handling, web tracking) suggests a broad interest in the data ecosystem. This aligns well with a culture that values continuous learning and hands-on problem-solving. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and professional communication in a work setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to learning and applying new technologies. The focus on building complete, Dockerized solutions suggests an appreciation for operational readiness and reproducibility. However, without specific psychometric test results, a detailed assessment of soft skills like teamwork, stress handling, or communication style cannot be made.