Jack Bass
I'm a Data Engineer with over 3 years' experience building enterprise grade data pipelines using Python and SQL, with extensive experience on Databricks, Apache Airflow, DBT, and AWS.
About
I’m a Data Engineer with over 3 years’ experience building enterprise grade data pipelines using Python and SQL, with extensive experience on Databricks, Apache Airflow, DBT, and AWS.
- 6 years' experience
- Joined October 2025
Industry experience
- Energy & Utilities
- Software & Internet
- Professional Services
- Manufacturing
Work experience· 4 roles
Built streaming and batch workloads on Databricks ( AWS ) in Python/PySpark and SQL, using Databricks Jobs and Delta Live Tables pipelines; transformed data with DBT across bronze–silver–gold layers; developed ETL pipelines loading file-based, REST API, and on-prem SQL Server data into the Lakehouse; collaborated with analysts to create data products and provide self-serve support; migrated SQL Server SSIS/Stored Procedures to Databricks; created dashboards to identify resource/cost intensive pipelines; supported finance with margin reporting data using DBT snapshots for historical auditing; engaged with Data Governance for privacy and security best practices.
Wrote and maintained Apache Airflow DAGs for automated and on-demand workflows on AWS; built pipelines to extract data from SQL databases and file sources, ingesting into AWS S3 and Iceberg tables; authored Python scripts (with Pandas) to automate large survey data processing; developed serverless REST APIs on AWS (Lambda, SAM, CloudFormation); ensured unit and integration tests; utilized Docker for deployment and local API testing.
Developed Python scripts to automate daily Excel-based tasks, reducing processing time from hours to minutes.
Education
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