I will build etl pipelines using databricks and pyspark

Struggling with messy data, broken pipelines, or dashboards that don't tell the real story? I can help.

I'm a Data Engineer with 4+ years of hands-on experience designing, building, and optimizing end-to-end data pipelines and cloud data platforms.

WHAT I CAN DO FOR YOU:

- Build and orchestrate ETL/ELT pipelines using Apache Airflow

- Design and manage cloud data warehouses on Snowflake and Databricks

- Write efficient, production-grade SQL and Python (PySpark) for large-scale data transformation

- Migrate legacy workflows (e.g., Hive/Oozie) to modern Databricks/Airflow pipelines

- Clean, transform, and model raw data into analytics-ready tables

- Optimize existing pipelines for performance (partitioning, caching, incremental loads)

- Build dashboards in Power BI, Tableau, or Qlik on top of your pipeline

WHY WORK WITH ME:

- Real-world project experience across the full data stack ingestion to dashboard

- Clear communication throughout the project, not just a code drop

- I explain what I built and why, so you're never stuck maintaining a black box you don't understand