Data Engineer
Varga Edvárd
Building reliable, maintainable data platforms with Snowflake, Airflow, and Python.
I build and modernize data platforms — orchestration, warehousing, and the pipelines that keep them reliable. Recently I rebuilt a legacy Airflow setup into a versioned, reproducible deployment framework and designed Snowflake ingestion, access control, and semantic layers for newly onboarded datasets.
I work end-to-end, from architecture to rollout, and care most about infrastructure other engineers can actually maintain.
- sources
- pipelines
- models
- decisions
Stack
Languages & query
- Python
- SQL
- PySpark
- Pandas
Warehouses & platforms
- Snowflake
- Palantir Foundry
- Azure SQL
- DynamoDB
- OpenSearch
Orchestration & pipelines
- Airflow
- AWS Step Functions
- AWS Glue
- ETL/ELT
- Data Modelling
Cloud & infrastructure
- AWS
- Azure
- AWS Lambda
- AWS CDK
- Docker
- CI/CD
- Infrastructure as Code
Data governance
- RBAC
- PII Handling
- Masking Policies
- Data Quality
- Semantic Layers