Fractional Engineer — Data / Platform
Bali · UTC+8
I build the infrastructure behind data, ML, and backend systems—turning distributed complexity into dependable paths for teams to ship.
My work sits where platform engineering, distributed data systems, and developer experience meet. I care about declarative interfaces, safe defaults, observable execution, and explicit escape hatches.
- Fractional data and platform engineering engagements
- Cost-efficient Spark and Kubernetes infrastructure
- Apache Iceberg lakehouse operations
- Declarative MLOps and developer platforms
- Backend architecture and distributed systems
- Prefect Spark on Kubernetes — orchestration and monitoring for Spark jobs through the Spark-on-Kubernetes operator
- Talaria Spark Connector — Apache Spark connector for TalariaDB
- kmux-status — tmux status-line context for Kubernetes workflows
I also contribute to and work around Apache Iceberg, Trino, LakeFS, Prefect, Cube.js, and TalariaDB. I presented the Prefect and Spark-on-Kubernetes work at PyCon Malaysia 2023.
platform Kubernetes · Terraform · Docker · AWS · GCP
data Spark · Iceberg · Trino · Airflow · Prefect
languages Go · Python · Rust · Java · Node.js · TypeScript · Lua · Nix
environment Unix · Zsh · Tmux · Neovim · OMP
databases Postgres · BigQuery · Redshift · Talaria
- Website: tardunge.com
- LinkedIn: manojbabuiit
- Email: manojbabukatragadda@gmail.com
I’m available for fractional engineering engagements across data platforms, ML infrastructure, backend systems, and developer platforms.




