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Dr. Farrukh Akhtar
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Queensland energy providerEnergy2019Australia

Smart-meter data and MLOps platform

Over 1 million smart energy meters generate data and send it every 5 mins interval to Azure IoT hub.

Role: Data Architect

smart meters
1M+
smart meters
reading interval
5 min
reading interval

The approach

Over 1 million smart energy meters generate data and send it every 5 mins interval to Azure IoT hub. Azure Data Factory is used for data orchestration. Data processed through Azure IOT hub to Azure Data lake. Databricks is used for data transformation and later it is moved to SQL data warehouse and Cosmos DB. MLOps also configured which allow machine learning models to automatically train and publish endpoints through Azure ML.

  • Confidential clientMining2026

    Independent audit of an enterprise Databricks Lakehouse

    Led a 10-day independent audit of a global mining company's enterprise Databricks Lakehouse platform across three pillars (Ingestion, Data Governance, Technical Governance), delivering evidence-backed findings from production environment analysis of 16,000+ tables across two AWS regions and three stakeholder workshops.

    tables analysed across two AWS regions
    16,000+
    tables analysed across two AWS regions
    remediation roadmap delivered
    21-point
    remediation roadmap delivered
    DatabricksUnity CatalogDelta LakeDelta SharingAWS (multi-region)