Andrew Sikowitz
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Sikowitz is a pragmatic senior software engineer with 11 years of experience building scalable, production-grade systems and data pipelines from prototype to deployment. Based in New York, he has led teams to automate complex workflows, designed SAML SSO integrations that closed enterprise deals, and rebuilt core platform components to improve concurrency and latency by an order of magnitude. His cloud-native work spans Google Cloud Dataflow, BigQuery, Terraform, and data deidentification with Cloud DLP, and he’s contributed backend improvements to the popular open-source DataHub project focused on metadata ingestion and Snowflake performance. Comfortable mentoring juniors and interfacing with product and QA, Andrew pairs deep systems thinking with pragmatic execution—often turning multi-week manual processes into minute-scale automated flows.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Cornell UniversityStuyvesant High School
Github Skills (8)
transformers10
data-ingestion10
python10
snowflake9
data-engineering9
data-catalog8
metadata8
sql8
Programming languages (3)
Github contributions (5)
datahub-project/datahub
Feb 2023 - Apr 2025
The Metadata Platform for your Data and AI Stack
Role in this project:
Back-end Developer
Back-end DeveloperContributions:816 reviews, 444 PRs, 234 pushes in 2 years 2 months
Contributions summary:Andrew focused on implementing and enhancing data ingestion transformers, specifically adding a domain transformer and enabling replace_existing functionality for pattern-based domain assignments. They also contributed to improving the performance and memory usage of data ingestion pipelines, particularly in the context of Snowflake metadata extraction. Furthermore, the user demonstrated involvement in fixing dependencies and addressing issues related to looker ingestions, contributing to overall system stability and functionality.
data-managementdata-discoverydata-stackmodern-data-stackdata-catalog
asikowitz/datahub
Feb 2023 - Apr 2025
The Metadata Platform for the Modern Data Stack
Contributions:3 reviews, 3 PRs, 442 pushes in 2 years 2 months
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