Build and maintain production data engineering pipelines using SQL, dbt, and Python. Contribute to data ingestion, transformation, API-serving workflows, testing, debugging, cloud infrastructure, and AI-assisted engineering. Collaborate with data engineers, analysts, and product stakeholders while learning through mentorship, code reviews, and hands-on early-career training.

Own a portfolio of mid-size SaaS customers to drive retention, renewals, adoption and expansion. Translate data into ROI stories, identify growth or risk signals, create strategic account plans, and surface customer feedback to influence product and delivery.