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Darla Magdalene Shockley
Python Data Engineer
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I'm the data team lead for an adtech startup. I do data science and data engineering using Python, AWS services, and Elasticsearch. I'm a data science and data engineering generalist, with infrastructure experience, and deep knowledge of Elasticsearch and Python. In the past, I've been a backend developer, full stack developer, and a PhD student in Natural Language Processing (focus: automatic text summarization). I also work occasionally in Node.js. My undergrad degree is in Linguistics, and I have a masters degree in computer science.
- 5 years experience
I've spent the last 5 years working full stack, then backend, then data engineering, using Python as my primary language. Right now I lead the data team for an adtech startup, where we focus on data engineering (ETL pipeline based on AWS services + python), and some data science work.
- 4 years experience
In my current professional work, I use Elasticsearch to serve our custom analytics platform, as well as for business intelligence, and we also use ES to search our video content library. I've designed and implemented our "related video" feature using ES. In the past I've worked on query optimization, custom scoring metrics. I'm very proficient with the ES query DSL, and also with python tools (elasticsearch-py, elasticsearch-dsl).
- 2 years experience
I built the data architecture in my current professional role in an adtech startup. We use event-driven lambdas for a large percentage of the T (transform) part of our ETL pipeline. We use primarily Python, use the VPC Lambda feature to securely access our data sources, and use DLQ feature to capture and respond to errors.
Web application to get notifications about local- and state-level legislation.
Some proof-of-concept experiments in tagging text with categories, using sklearn+nltk.