About Me
Azure Data Engineer/Data Analyst with 5 years of experience in Azure, Microsoft Fabric, Azure Databricks, Azure Data Factory SQL, PySpark, and Power BI. Skilled in building ETL pipelines, developing interactive dashboard…
Azure Data Engineer/Data Analyst with 5 years of experience in Azure, Microsoft Fabric, Azure Databricks, Azure Data Factory SQL, PySpark, and Power BI. Skilled in building ETL pipelines, developing interactive dashboards, automating data workflows, and delivering actionable insights through data modelling, analytics, and cloud cost optimisation.
Experience
Software Engineer
<p>Designed and implemented an end-to-end Microsoft Fabric Lakehouse solution to ingest Azure Cost Management data into OneLake, perform transformations, and deliver curated datasets for enterprise FinOps reporting.</p><p> Migrated legacy PowerShell-based Azure cost processing scripts into scalable Azure Databricks notebooks using PySpark, significantly improving maintainability and processing efficiency.</p><p> Built enterprise ETL pipelines using Azure Databricks, Azure Data Factory, and Azure Data Lake Storage for Azure billing and utilisation data processing.</p><p> Developed interactive Power BI dashboards enabling finance and engineering teams to monitor Azure cloud spend, resource utilisation, and budgeting trends.</p><p> Built an end-to-end Azure FinOps pipeline using Microsoft Fabric, ADF, ADLS Gen2 and Databricks.</p><p> Built an Azure OpenAI-powered chatbot to help FinOps teams with cloud cost analysis, Azure resource recommendations, and spending insights during Innovation Week.</p>
Senior Systems Engineer
<p>Designed and optimised enterprise ETL pipelines processing large-scale retail POS datasets using SQL, Python, and Control-M scheduling.</p><p> Accelerated enterprise data processing pipelines by 30% through workflow optimisation and cloud migration initiatives.</p><p> Developed automation solutions that archived legacy datasets, reclaiming approximately 15 TB of storage during production execution.</p><p> Developed SQL queries and troubleshooting scripts for production data analysis and issue resolution.</p><p> Built business intelligence reports and analytical dashboards enabling clients to improve forecasting accuracy and business decision-making.</p>
Software Trainee(Azure Data Engineering)
<p>Practiced developing ETL/ELT workflows to extract, transform, and load data from multiple sources.</p><p> Gained exposure to Apache Spark and PySpark, SQL, Python for distributed data processing.</p><p> Worked on practical exercises and mini-projects to understand end-to-end data engineering workflows.</p>
PROJECTS
Azure FinOps Cost Management Platform Using Fabric
<ul><li>Built an end-to-end Azure FinOps pipeline using Microsoft Fabric, ADF, ADLS Gen2 and Databricks.</li><li>Implemented Landing, Conformed and Reporting layers using Lakehouse/Delta architecture.</li><li>Developed PySpark transformations for application, subscription, resource and environment-level cost analysis.</li><li>Built budget vs actual, variance and utilization reporting for FinOps monitoring.</li></ul><p></p>