| homepage | https://tnotstar.dev |
⚡ Module 6 of Data Engineering Zoomcamp done!
- Batch processing with Spark 🔥
- PySpark & DataFrames
- Parquet file optimization
- Spark UI on port 4040
My solution: https://github.com/tnotstar/data-engineering-zoomcamp-2026-06-batch
Free course by @DataTalksClub: https://github.com/DataTalksClub/data-engineering-zoomcamp
dlt Workshop of Data Engineering Zoomcamp done!
- REST API pipelines with @dltHub
- AI-assisted pipeline building
- DuckDB as local data warehouse
- dlt Dashboard & marimo notebooks
My solution: https://github.com/tnotstar/data-engineering-zoomcamp-2026-workshop-1
Free course by @DataTalksClub: https://github.com/DataTalksClub/data-engineering-zoomcamp/
Module 5 of Data Engineering Zoomcamp done! 🫡
- Data Platforms with Bruin
- End-to-end ELT pipelines
- Data quality & lineage
- Deployment to BigQuery
Free course by @DataTalksClub: https://github.com/DataTalksClub/data-engineering-zoomcamp/
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼 - DataTalksClub/data-engineering-zoomcamp
Just wrapped up Module 4 of the #dezoomcamp with @DataTalksClub!
Dived deep into Analytics Engineering with dbt:
* Built production-ready models for NYC taxi data
* Managed lineage for 43M+ FHV records
* Wrote data tests to catch schema drifts
The "T" in ELT is powerful! 🚀
Delivering my #MLZoomcamp Capstone 2 Project!
I am preparing for submit my second Capstone Project for the Machine Learning Zoomcamp by @DataTalksClub.
The goal was to build a complete, end-to-end ML solution, moving beyond
just training models in a notebook to creating a production-ready
service.
This journey, mentored by the @DataTalksClub community, has been an intense but rewarding experience in "learning by doing." 🤓
