Ongda Dorjee

Ongda Dorjee has a significant amount of work experience in the field of data engineering. Ongda started their career in 2015 as a Web Developer Intern at Greatmoods Inc. In 2016, they worked as an Application Developer Intern at General Mills, where they created a web application that streamlined business decisions.

In 2017, Dorjee became a Big Data Engineer at General Mills, where they optimized data flows in the enterprise data pipeline, enhanced a Python ETL tool, and automated data quality rule failures notifications. Ongda then joined ZEFR in 2018 as a Data Engineer, where they built a streaming service for real-time processing and reduced data warehouse costs.

Dorjee joined Capsule in 2020 and held the positions of Data Engineer and Senior Data Engineer. During their time there, they automated de-identification of PII data, improved performance of the Redshift cluster, enabled near real-time analytics using CDC strategy, and optimized the Jenkins build process. Ongda also contributed to Capsule's data warehouse dimensional modeling strategy.

In 2022, Dorjee started working as a Consultant Data Engineer at McKinsey & Company. The information provided does not include specific details about their responsibilities in this role.

Ongda Dorjee obtained a Bachelor's Degree in Computer Science from the University of Minnesota, attending from 2014 to 2017. Additionally, they obtained certifications in AWS Certified Solutions Architect – Associate from Amazon Web Services (AWS) in July 2022, and in HashiCorp Certified: Terraform Associate (002) from HashiCorp in February 2023.