RsquareInfoE-Solutions Pvt. Ltd.
A cloud data pipeline brought sensor events, historical alarms and operational indicators into a more usable monitoring view.
Wastewater operations generate large volumes of telemetry and alarms. Without a consistent pipeline, it is harder to interpret sensor history, spot unusual patterns and give operational teams a reliable view of changing conditions.
The documented design used Azure and Databricks pipelines with PySpark to process telemetry and historical event data. Delta and Parquet storage supported the data flow, while anomaly and flatline detection, maintenance flags and summary tables made signals available for Power BI views and alerting.
The case shows how data engineering can connect raw equipment signals to operational questions: where attention may be needed, what has changed over time and which patterns deserve investigation.
The right combination depends on your systems, users and governance requirements.
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