ETL Pipeline — Project Name
Brief description: e.g. batch ingestion from APIs into a raw layer, dbt transformations, and scheduled Airflow DAGs with data quality checks.
- Python
- Airflow
- PostgreSQL
Data Engineer
Building reliable
data pipelines.
I design and operate scalable data infrastructure — ETL/ELT pipelines, warehouses, and orchestration — so teams can trust their data.
About
Who I am
Replace this with your background — years of experience, domains you've worked in (finance, healthcare, SaaS), and what drives your work in data engineering.
Highlight certifications, education, or notable achievements. Keep it concise and focused on outcomes: latency reduced, cost saved, pipelines migrated, teams enabled.
Skills
Toolbox
Languages
- Python
- SQL
- Scala
Data Platforms
- Snowflake
- BigQuery
- Databricks
Orchestration & IaC
- Airflow
- dbt
- Terraform
Portfolio
Data Engineering Projects
Production-style pipelines, warehouses, and tooling. Each card links to the GitHub repository — update titles, descriptions, tech tags, and URLs below.
Lakehouse — Another Project
Brief description: e.g. Delta Lake on S3, Spark jobs, and medallion architecture with CI/CD for infrastructure and dbt models.
- Spark
- dbt
- AWS
Real-time Analytics — Streaming Project
Brief description: e.g. Kafka consumers, Flink or Spark Structured Streaming, and sink to warehouse or OLAP for dashboards.
- Kafka
- Flink
- Snowflake
More repos on GitHub
Contact
Let's connect
Open to data engineering roles, consulting, and collaboration on pipeline and platform work.