Annelise Lynch
Data Engineering Manager
Charlottesville, Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolAnnelise Lynch is a data engineering manager with a decade of experience building analytics platforms and leading engineering teams, currently scaling data infrastructure at Shopify. She progressed from solutions and senior engineering roles at Parsely to management, bringing hands-on expertise in data warehousing, BI, and applied statistics. Her academic background—MS in Applied Statistics and a BS in Systems Engineering and Computer Science—helps her blend rigorous quantitative thinking with practical system design. She has consulted for small businesses and led enterprise analytics projects, demonstrating an ability to translate ambiguous requirements into operational pipelines. Based in Charlottesville, VA, she pairs technical leadership with a consultant’s mindset, often surfacing business insights that non-technical stakeholders can act on.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Applied Statistics, Master of Science - MS Applied Statistics at University of Colorado BoulderEngenharia de Produção (Industrial Engineering), Engenharia de Produção (Industrial Engineering) at Universidade Federal do Rio de JaneiroB.S. Systems Engineering; Computer Science, B.S. Systems Engineering; Computer Science at University of Virginia
English, Portuguese
Github Skills (27)
raw-data10
storm9
amazon9
parse9
amazon-s38
topology8
pythonic8
dsl7
apache-storm7
aws-s37
aws7
api7
python7
cli6
tensorlayer6
Programming languages (4)
Github contributions (5)
Parsely/parsely_raw_data
Oct 2017 - Jan 2021
Access Parse.ly raw data via Amazon S3 and Kinesis
Contributions:2 releases, 12 reviews, 78 commits in 3 years 3 months
kinesisraw-dataamazonamazon-s3aws-s3
rachelannelise/sandbox
Mar 2022 - Apr 2022
Contributions:6 pushes, 1 branch in 27 days
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