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Data Engineer with 3 years of experience delivering scalable,
cloud-native data solutions using Azure Data Factory,
Azure Databricks, and Microsoft Fabric. Dual
Microsoft-certified in Fabric Data Engineering and Analytics.
Proficient in building automated ETL pipelines, optimizing
workflows, and delivering real-time insights through
Power BI.
Experienced in leveraging AI-assisted tools like
GitHub Copilot to accelerate development and improve
efficiency by 50%. Skilled in SQL, PySpark, and
reporting automation, with a proven record of aligning
AI-driven data engineering with business objectives.
Additionally experienced in
modern front-end development using React.js,
JavaScript, and TypeScript for building
interactive dashboards and analytical interfaces. Passionate
about automation, innovation, and creating impactful data-driven
solutions that enable smarter decision-making across
enterprises.
Simulated the Q-Routing algorithm in a 3D Network-on-Chip (NoC)
architecture using Garnet and Gem5 simulators to optimize on-chip
communication. Achieved 20X faster performance compared to
traditional 2D routing by mitigating network congestion and
improving overall efficiency. Analyzed and visualized network
performance metrics to evaluate routing efficiency and support
further architectural improvements.
This Cloud Application will analyze the emotion and sentiment of
any input text or URL by using IBM Watson NLU.
In this Web Application, users can search any location across the
globe and the web page will show the Live Weather Report for that
particular location along with the background image based on the
weather of that area.