Data development, modeling, orchestration, ingestion, governance, observability, etc.- Led project to migrate pipeline orchestration to Airflow.- Developed, re-factored, maintained dbt models and infrastructure.- Built data ingestions with Python and GCP infrastructure.

Focused on making data useful to the business by designing and developing data pipelines.- Created REST API data ingestions.- Developed pipelines with Spark (Databricks).- Improved reporting with data tests and validations.- Utilized modern data lake technology (Delta Lake) to make queries and reports greatly more efficient.

- Built data pipelines to enable analytics and data science initiatives on learning management system data.- Integral role in building brand new data platform utilizing AWS services and PostgreSQL.- Enhanced data lineage observability by creating metrics and dashboards for data pipelines.- Major focus on developing infrastructure as code and serverless services.

- Lead engineer responsible for providing data platform for solar sensor and analytic data.- Designed and created greenfield IoT platform for ingesting and processing sensor data from remote solar installations (Kinesis, Lambda, AWS IoT, Athena).

- Connected gigawatts of remote solar systems to data platform allowing for monitoring and analytics for customer projects.- Reduced the deployment time of remote data acquisition systems from days to hours through automation.- Built data models for sensors and devices to be integrated into the larger database structure.