• Contributed to the development and maintenance of data ingestion infrastructure supporting analytics, ML, and streaming use cases

• Built and improved Spark-based pipelines integrating with Databricks, Snowflake, Kafka, and internal feature platforms

• Helped standardize onboarding patterns (“golden paths”) to make it easier for teams to integrate their data

• Collaborated with cross-functional teams to improve reliability, data quality, and operational workflows

• Supported infrastructure automation efforts using Terraform

Developing data pipelines to serve different teams and to integrate with service providers, managing teams' access to the data lake and ensuring data quality.

Occasionally aggregating data in shared intermediate tables and performing analyses to make informed decisions regarding the development of the data pipelines.

Worked with a small team of data scientists and developers consolidating programming skills in Python and its frameworks while participating in the development of a containerized statistical modeling/prediction service.

Collaborated in creating a demo recommender system for a supermarket chain.