Sales Analytics Pipeline is a complete data processing solution that ingests operational sales data, transforms it into analytics-ready datasets, exposes the processed data through gRPC services, and visualizes insights in an interactive Streamlit dashboard.
Sales teams need rapid access to clean, transformed data for decision-making, but traditional ETL processes are slow and require significant manual intervention. The need was to create an end-to-end pipeline that could ingest, process, and expose sales data with minimal latency.
The system combines multiple modern data technologies: FastAPI for ingestion, DuckDB as the analytical engine, Polars for high-performance transformations, gRPC for efficient service communication, and Streamlit for visualization—all orchestrated through a modular Python architecture.
We designed a layered architecture with clear separation between raw data storage and transformed data, implemented data cleaning and validation logic, built high-performance transformations using Polars, created gRPC services for analytics exposure, and developed an interactive dashboard for visualization.
“The best analytics pipelines don't just process data—they transform it into stories that drive decisions.” — Gaurav Dhiman, Data Scientist