About Me
Computer Science Engineering graduate specializing in Artificial Intelligence, with hands-on experience building and supporting Azure-based data pipelines using Python, SQL, Azure Data Factory, and Azure Databricks. Skilled in ETL/ELT design, data validation, pipeline monitoring, and CI/CD deployment, with growing expertise in Azure AI Foundry and Retrieval-Augmented Generation for intelligent data solutions.
Skills & Technologies
Work Experience
Data Engineer Intern
Built and supported Azure-based ETL/ELT pipelines using Python, SQL, Azure Data Factory, and Azure Databricks to integrate structured and semi-structured data from multiple sources for daily reporting. Monitored pipeline execution and activity logs to detect failed runs and processing exceptions, performing first-level troubleshooting on 10+ scheduled pipelines and validating fixes to restore reliable data flow.
Data Analyst Intern
Built interactive Power BI dashboards and KPI reports using SQL, Python, and Excel to translate raw business data into actionable insights for stakeholders. Performed data reconciliation and quality checks across business datasets, identifying mismatches and improving reporting accuracy.
Projects
Cloud Data Integration Pipeline
Designed a personal ETL/ELT workflow integrating SQL Server, file-based, and REST API sources using Python, SQL, Azure Data Factory, and Azure Databricks for centralized processing.
Real-Time Data Ingestion Pipeline
Built a proof-of-concept streaming pipeline using Azure Event Hub, PySpark, and Azure Databricks to ingest and process event-driven data in near real-time.
Education
B.Tech in Computer Science and Engineering (AI Specialization)
Computer Science