• Worked with Data Science, Analytics, and Finance and other business partners to achieve quality data ingestion and simplify self-service asks for business stakeholders

• Built, migrated and maintained robust ETL pipelines from different sources (S3, Snowflake, Postgres)

• Scaled data warehouse system (Snowflake) to support complex analysis across our data science ML, infrastructure, and product teams

• Served as a primary resource for data expertise across business-facing and engineering teams

Example keystone projects: Created a python connection layer framework for self serve data pipelining and scheduling on Kubernetes Airflow, abstracting the ETL process from from analysis and data scientist

• Partnered with Data Science and Strategic Analytics teams to understand data needs and ingest new data sets into Snowflake

• Created internal-facing tool for Product Teams to run a Freight Marketplace, pushing to production by the end of the internship

• Led team trainings on Git change practices, and clean SQL/Python guidelines

• Modernize client portal for judicial systems web applications to properly handle datetime, currency, and measurements for global markets.

• Modify deployment software to streamline the launch of software product in Australia

• Technologies used: Angular, JQuery, C#, SQL

• Created full stack web application that aggregates project information and surfaces it in a custom dash boarding tool

• Built an application that collates judicial data to help analyze labor costs between court circuits.

Technologies used: Angular, C#, SQL