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.

  1. sources
  2. pipelines
  3. models
  4. 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

Explore