Data Engineering Leadership

Lead enterprise data integration and modernization initiatives.

Design and implement cloud-native ETL architectures.

Drive migration efforts from legacy platforms to up-to-date Data Engineering solutions.

Partner with BI teams to design scalable reporting and semantic data models.

Establish best practices for Power BI and Tableau data consumption layers.

Optimize enterprise reporting performance.

Snowflake

Azure Data Factory

AWS Glue

AI-Driven ETL Modernization

Drive adoption of AI-enabled development practices.

Lead ETL migration projects using Generative AI-assisted code conversion and test automation.

Establish development standards and governance policies.





Mentor ETL Developers and ETL Analysts.

Additional Technical Skills (Senior ETL Developer)

7+ years of Data Integration and Data Engineering experience
Advanced SQL expertise
Python and PySpark
PostgreSQL and Oracle
Snowflake
Power BI and Tableau
Azure Data Factory and/or AWS Glue
Git, CI/CD, DevOps

Microsoft Azure Data Engineer Certification

AWS Data Analytics Certification

Experience with Collibra, Alation, or Informatica Data Governance

Experience leading ETL modernization programs

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