At INVU IT Solutions, I build and maintain scalable ETL/ELT pipelines for batch data ingestion using Python and PySpark.
I write, test, and optimize complex SQL queries across BigQuery and Snowflake, using joins and aggregations to transform and validate structured and unstructured data.
I maintain data quality through validation checks, troubleshoot pipeline bottlenecks, and document data flows, technical specifications, and test cases. I also use Apache Airflow and Docker to support reliable scheduled ingestion workflows.
I've supported a Snowflake migration and data quality framework, and contributed to hybrid Kafka and batch ETL pipelines that deliver curated datasets to Power BI, Tableau, and Looker.
