Daniel Kolbassen is a data engineer and API infrastructure consultant based in Austin, TX. With over 12 years in the field, he specializes in social media data pipelines, API integrations, and large-scale data collection systems.

About Daniel
Daniel started his career at a Portland-based analytics startup in 2013, building one of the first real-time Twitter sentiment dashboards for hedge fund clients. Since then, he has designed data architectures for companies ranging from early-stage startups to Fortune 500 enterprises, processing billions of social media data points.
After Twitter's API pricing changes in 2023, Daniel helped over 40 companies restructure their data pipelines and migrate to alternative providers. He now writes in-depth technical content about Twitter/X data access, Python integrations, rate limit optimization, and cost-effective alternatives to the official API.
Daniel holds a B.S. in Computer Science from Oregon State University and an M.S. in Computer Science (Machine Learning) from Georgia Tech. He is an active open-source contributor and occasional speaker at data engineering meetups.
By the Numbers
- 12+ years in data engineering
- 40+ companies helped with API migration after the 2023 Twitter/X pricing overhaul
- Billions of social data points processed across his career
- Since 2012 working with Twitter/X APIs, starting from the v1.1 Streaming API era
In His Own Words
"I write about things I actually run into on the job. If I'm describing a rate limit problem or a pipeline migration, it's because I've dealt with it myself. My goal is to save you a few hours of digging through outdated docs and Stack Overflow threads."
Areas of Expertise
Twitter/X API, Python, Data Pipelines, Web Scraping, REST APIs, Rate Limit Optimization, Sentiment Analysis, API Migration, ETL, Kafka, Spark, AWS
Find Daniel Online
- LinkedIn: danielkolbassen-dev
- GitHub: danielkolbassen-dev
- Twitter/X: @dkolbassen_data
- Website: danielkolbassen.dev