Data science, analytics & ML ops
Building reliable data pipelines.
MS Data Science student focused on Data Engineering. I build AWS-based ETL pipelines and analytics-ready datasets using Python, SQL, Spark, and Airflow— with validation, observability, and performance in mind.
About
Hi, I’m Karthikheyaa Kurra. I build pipelines with quality checks, monitoring, and clear docs.
Build
Raw → clean tables: Python/SQL ETL, incremental loads, reusable workflows.
Reliability
Data quality checks, logging/alerts, and rerunnable jobs.
Communicate
READMEs, diagrams, and short write-ups that make projects easy to evaluate.
Skills
Data Engineering
ETL/ELT, warehouse modeling, and operational reliability.
Projects
Featured projects
Three projects I'm actively building right now.
Engineering
What I optimize for
Notes
Writing and field notes
Milestones
Certifications
Contact
Open to Data Engineering roles
If you think I’m a fit, email me — I reply quickly.