John Dennison
Staff Software Engineer at Apple
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolJohn Dennison is a Staff Software Engineer in Boulder with 14 years of experience building data-driven web applications and machine learning systems that solve real business problems. With a social science background (BA in Economics and Political Science), he blends statistical computing (R, numpy/pandas) and production engineering (Python, Java, JS) to move models from exploration into scalable services. He has driven analytics and data science at Activision and now leads engineering and analytics efforts at Apple, routinely designing databases, APIs, and visualization layers (Postgres/PLSQL, Django ORM, D3, ggplot2). An active open-source contributor to notable Kafka Python clients (confluent-kafka-python, pykafka), he has improved consumer features, offset management, and Python 3 compatibility—work that reflects a focus on robustness and interoperability. Comfortable across the full stack and Linux operations, he also brings GIS and reporting expertise (PostGIS, geoDjango, Jasper) that often surfaces in product-facing analytics.
14 years of coding experience
10 years of employment as a software developer
BA, Economics, Political Science, BA, Economics, Political Science at University of Vermont
Stackoverflow
2,060reputation
273kreached
11answers
8questions
Github Skills (21)
python10
testing10
kafka10
librdkafka10
exception-handling10
apache-kafka10
message-queue9
c119
error-handling9
c179
api-design8
unit-testing7
pykafka6
sql6
pandas6
Programming languages (8)
Github contributions (5)
confluentinc/confluent-kafka-python
May 2016 - Feb 2018
Confluent's Kafka Python Client
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 11 PRs, 46 comments in 1 year 9 months
Contributions summary:John primarily contributed to the Python client for Kafka, focusing on improving the consumer functionality. Their work included fixing a typo, addressing multiple close calls, adding exception handling, and enhancing documentation. Furthermore, the user implemented a new feature, `offsets_for_times`, exposing a consumer method. The user also worked on setting and retrieving message headers.
pythonkafka-pythonconfluent-cloudpython-clientkafka-protocol
Parsely/pykafka
Oct 2015 - Mar 2016
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
Role in this project:Back-end Developer
Back-end DeveloperContributions:35 commits, 8 PRs, 60 comments in 5 months
Contributions summary:John primarily focused on enhancing the Python client for Apache Kafka, specifically contributing to the core functionalities. They updated print functions for Python 3 compatibility, modified exception handling, and implemented features related to compacted topics and offset management. The user also addressed issues related to message size limits and added tests to validate the changes. Their work focused on improving the stability and functionality of the pykafka library.
sinkapache-kafkapythonhigh-levelapache
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