class GlennDalida:
role = "Data Engineer @ IBM"
founder = "Koala Data Lab π¨"
languages = ["Python", "Rust", "Go", "SQL", "TypeScript"]
stack = ["dlt", "Polars", "DuckDB", "Snowflake", "dbt", "Spark"]
focus = [
"High-performance, modern ELT pipelines",
"Zero-copy data infrastructure",
"Production-ready AI & agentic workflows",
]
def motto(self):
return "Make data fast, reliable, and boring to operate."Building the future of on-demand Data Science & Engineering. We help enterprises ship AI and data products weeks faster through elastic, high-velocity infrastructure.
| Custom models, NLP, and agentic workflows. | High-performance pipelines and modern ELT systems. |
| Predictive insights and decision-support systems. | Architecture guidance and data-maturity roadmaps. |
High-performance tools for data engineers.
π Koala FlowA lightweight Python library for batch inference pipelines built on dlt and Narwhals.
pip install koala-flow
|
β‘ Koala DiffA Rust-powered engine that compares massive CSV / Parquet datasets instantly β without blowing up your RAM. pip install koala-diff
|
| ποΈ Data Engineering |
|
| π§ͺ MLOps |
|
| π§ AI & LLMs |
|
| π Web & APIs |
|
Open to collaborations on data platforms, open-source tooling, and production AI.
Need a data or AI team on demand? Reach out via Koala Data Lab.

