Ather Energy: Enterprise Data Lake & Analytics on BigQuery

Ather Energy’s core operational reporting ran on manual processes: data assembled by hand across Google Sheets, pulled from multiple systems with no single source of truth. Numbers didn’t reconcile across teams, and leadership decisions waited on manual reporting cycles that were often stale by the time they reached the people making the call.

TechTrapture partnered with Ather Energy to replace ad hoc, spreadsheet-driven reporting with an engineered data platform. Rather than automating the existing spreadsheets in place, we re-architected the underlying data flow, from source system to executive dashboard, so reporting became a by-product of a governed pipeline rather than a manual exercise repeated every cycle.

The result is an enterprise data lake on Google BigQuery, built around three layers. Automated pipelines consolidate Ather’s operational source systems into BigQuery, eliminating manual, spreadsheet-based data collection. A modelled transformation layer cleanses, reconciles, and standardises the raw data into one consistent, trustworthy structure. And curated, analytics-ready datasets now power executive and operational reporting, so every dashboard draws from a single governed source instead of team-by-team manual assembly.

Manual, Sheets-driven data handling has been replaced by an automated ingestion-to-reporting pipeline. Executive reporting moved from delayed, manually-assembled numbers to a timely, trusted data flow. Ather now has a governed BigQuery foundation that further analytics work can build on directly.