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As an experienced Data Engineer with background in Product, I specialize in creating a deep understanding your business problem, collaborate in defining the needs, assist in choosing the right technology for your situation and implementing it, whatever tools and technologies that might require.
I'm happy to help you with:
- building out data pipelines,
- modeling data, incl. running workshops with your team to properly define the models
- setting up BI infrastructure and dashboards
I prefer to apply best software engineering practices, using Infrastruce as Code (Terraform, Pulumi), CI/CD and containerization techniques (Docker).
Having built and managed big data systems, I understand the long term problems and build out solutions to avoid them, with your needs at the center.
I have hands-on experience in both AWS and GCP clouds as well as Snowflake, using tools like:
Warehousing - Redshift, BigQuery, Snowflake
Orchestration - Prefect, Airflow,
Modeling - dbt
Quality - GreatExpectations, Anomalo
BI - Superset, Tableau, Looker etc.
Projekt- und Berufserfahrung
- PlugsurfingData EngineerNovember 2021 - Heute (3 Jahre und 5 Monate)Berlin, GermanyPlugsurfing's mission is to make EV car charging easy. Plugsurfing's technology seamlessly integrates Charging Point Operators with Automotive OEMs, Fleets and EV Drivers to enable easy and efficient discovery, charging and payment at hundreds of thousands of charging points in 38 countries.
- Pipeline Data Engineering AcademyData Engineer in TrainingMärz 2021 - Juni 2021 (3 Monate)Berlin, Germany- Data Acquisition (Logs, APIs, scraping)- Telemetry (Tracking, Analytics - Kafka, SQS, Kinesis, PubSub)- ELT/ETL (DAGs, Connectors - dbt, Prefect, Airflow, Mara)- Data Warehousing (SCD etc. - Hadoop, Spark, Dask)- Clouds and Data Stacks (AWS, GCP - Stacks: hot-cold, data lake, classic)- BI & Data Quality (chart.io, redash, Looker, Tableau & lineage, testing monitoring. PII, GDPR, CAAP)- DevOps and DataOps (VMs, Docker, Kubernetes. Automation: CD, CI, )- Serving Data (Online APIs. Serving ML. NoSQL - Flask, Shiny - precomputing, feature factories)
- HomeToGoTeam Lead Product - Provider & IntegrationsNovember 2019 - August 2020 (9 Monate)Berlin, GermanyThe world's largest holiday rental search engine & booking platform with over 500.000 daily visits and 18 million offers worldwide. I was promoted to lead the Provider & Integrations team within the Product department. My team is responsible for the integration of new partners, building out payment integrations and their maintenance. We've built out over 100 connections allowing access to over vacation rental 1400 providers. We focused on optimizing the infrastructure and processes steadily increasing integration speed (40%-50%/half-year) and quality (nearing 0.2% failure ratio). ➜ Leading and coaching a team of 3 junior product managers to drive their own feature initiatives ➜ Facilitating quarterly retrospectives with my tech and product team ➜ Ownership of Creating a quarterly roadmap and OKR planning with my team ➜ Ownership of the whole integration process and provider onboarding process shared with the Tech and Sales/Business Development teams
Externe Empfehlungen
Ausbildung und Abschlüsse
- Bachelor of EngineeringLucerne University of Applied Sciences and ArtsBachelor of Engineering - BE, Computer Science
- Data EngineeringPipeline Data Engineering Academy2021Data Engineering
- Practical Deep and Machine LearningData Science Retreat2021Practical Deep and Machine Learning
- Bachelor of ScienceOpole University of TechnologyBachelor of Science - BS, Computer Science