About Me
Data Engineer at UST Global with hands-on experience across Azure, Azure Data Factory, Microsoft Fabric, Databricks, SQL, Python, PySpark, Power BI, and other data technologies. Experienced in designing and developing da…
Data Engineer at UST Global with hands-on experience across Azure, Azure Data Factory, Microsoft Fabric, Databricks, SQL, Python, PySpark, Power BI, and other data technologies. Experienced in designing and developing data pipelines, integrating and transforming data from multiple sources, building analytics and reporting solutions, and automating data-driven processes to address practical business requirements. Strong foundation in data engineering concepts with a continuous interest in emerging technologies, particularly AI and automation, and a proven ability to learn, adapt, and develop scalable solutions that deliver meaningful business value.
Experience
Data Engineer
<p>Designed and developed scalable Azure-based data integration solutions and pipelines, including automated mailbox and file-processing workflows to ingest, transform, and process data from multiple sources while ensuring data accuracy, integrity, and alignment with business requirements.</p><p> Developed Microsoft Fabric and SQL-based data solutions for enterprise cost calculations, financial analysis, and reporting, leveraging complex SQL queries, stored procedures, and data transformation processes to deliver reliable datasets for downstream analytics.</p><p> Engineered data automation solutions using Python and Azure Function Apps, automating repetitive data-processing workflows and integrating business processes; developed Power BI dashboards, including an ESG reporting solution, to transform data into actionable insights for stakeholders.</p><p> Independently designed and implemented an AI-powered email automation solution that analyzes incoming business emails, extracts relevant information, determines the required action, and initiates the appropriate response or downstream task, reducing manual intervention and improving operational efficiency.</p>