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Struggling with messy, unreliable data pipelines that crash under load or take hours to process? I build production-ready ETL systems that handle 100GB+ datasets reliably — so your team always has clean, trustworthy data when they need it.
I'm a Data Engineer with 2+ years of hands-on experience designing pipelines deployed on Amazon EKS and EC2, orchestrated with Apache Airflow, and feeding into Snowflake and Databricks warehouses. I've built star-schema and dimensional data models that power Power BI dashboards for real-time procurement and production monitoring.
What I deliver:
Custom ETL pipeline design & development (Airflow DAGs, ADF pipelines)
Snowflake / Databricks / Azure Synapse warehouse setup
S3/MinIO data lake integration
Star/galaxy schema data modeling
Monitoring, alerting & logging setup
Full documentation and handoff
Whether you're starting from scratch or migrating a legacy pipeline, I'll architect a scalable, maintainable solution that grows with your business.
Tools I work with: Python, Apache Airflow, Snowflake, Databricks, Azure Data Factory, AWS S3/EKS, dbt, SQL Server, ClickHouse, Trino.