Person

Santona Tuli

Santona Tuli's DataTalks.Club podcast discussions, organized for topic exploration.

Santona Tuli

Background

Santona began her data journey through fundamental physics—searching through massive event data from particle collisions at CERN to detect rare particles. She’s since extended her machine learning engineering to natural language processing, before switching focus to product and data engineering for data workflow authoring frameworks. As a python engineer, she started with the programmatic data orchestration tool, Airflow, helping improve its usability for data science and machine learning pipelines. Currently at Upsolver, she leads data engineering and science, driving research for the declarative workflow authoring framework in SQL. Santona is passionate about building, as well as.

Podcast Discussions

• Modern Data Pipeline Architecture: Ingestion, Orchestration, Transformation & MLOps Systems. Discussed: Episode Introduction; Career journey: CERN researcher → NLP, ML engineering, Python, Astronomer,; Transition to workflow authoring and orchestration (Airflow, Astronomer); Upsolver vs DBT: pipeline authoring, execution engine, and ingestion focus. Related topics: data engineering, MLOps, tools.