Jessie Nadler
Staff Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJessie Nadler is a Staff Engineer based in New York with a decade of experience building backend systems and cloud-native tooling. After transitioning from mechanical engineering into full-stack development via Flatiron School, Jessie rose through engineering and leadership roles at YipitData and Datadog, blending hands-on coding with team-level technical stewardship. They contribute to notable open-source projects for AWS tooling and testing—extending awslimitchecker to cover Redshift and VPC limits and enhancing moto’s CloudFormation mocking with imports and intrinsic functions—demonstrating deep familiarity with AWS APIs and testability. Known for pragmatic, API-driven solutions and careful attention to pagination and validation edge cases, Jessie helps teams ship reliable infrastructure code at scale. Their background in mechanical engineering informs a systems-oriented approach to software design and troubleshooting.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Science in Engineering Mechanical Engineering, Bachelor of Science in Engineering Mechanical Engineering at Duke UniversityFull Stack Web Development, Full Stack Web Development at Flatiron School
Github Skills (11)
aws-redshift10
amazon-redshift10
aws-cloudformation10
boto10
aws10
python10
vpc10
testing10
api-design9
back-end-development9
unit-testing9
Programming languages (3)
Github contributions (5)
getmoto/moto
Jun 2017 - Oct 2019
A library that allows you to easily mock out tests based on AWS infrastructure.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 5 PRs, 5 comments in 2 years 4 months
Contributions summary:Jessie primarily contributed to the `moto/moto` project, which provides a library for mocking AWS infrastructure in tests. Their work involved implementing and enhancing CloudFormation support, including adding features for exports, import values, and addressing related validation requirements. The user implemented functionalities like listing exports, unique name validation, and also included support for Fn::Split, Fn::Select, Fn::Sub, and Fn::ImportValue. These changes directly impact the functionality and completeness of CloudFormation mocking within the `moto` library.
awsbotoec2s3
jantman/awslimitchecker
Jan 2017 - Feb 2019
A script and python package to check your AWS service limits and usage via boto3.
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 commits, 4 PRs, 3 comments in 2 years 1 month
Contributions summary:Jessie primarily contributed to the implementation of AWS service limits checks within the awslimitchecker repository. They developed functionality for checking Redshift service limits, including manual snapshots and subnet groups. The user also updated the VPC service to include network interface limits, and refined the code to use pagination for API calls. The commits demonstrate a focus on extending the tool's capabilities to cover additional AWS services.
awsbotopython
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