Jaggaa User

I am a results-driven Data Engineer who designs and implements scalable data solutions on cloud platforms, primarily Microsoft Azure. I specialize in building ETL/ELT pipelines, data lake architectures, and enterprise data warehouses to support BI and ML initiatives.

At Globallgoic Technologies I built and optimized pipelines using PySpark, ADF, Databricks, and Synapse, delivering measurable improvements: up to 60% faster processing, 50% faster data access, and 40% reductions in reporting time. I also drove automation that improved data accuracy and saved significant processing hours.

My capstone project involved end-to-end orchestration with Azure Data Factory, Databricks transformations, and Synapse modeling, producing a production-ready data foundation that improved campaign effectiveness. I combine hands-on engineering with cross-functional collaboration to solve complex data problems and improve operational efficiency.

I am committed to delivering reliable, secure, and cost-effective data infrastructure, continuously optimizing systems for performance and cost, and enabling data-driven decision-making across organizations.