Accomplished Data Engineer at TATA Consultancy Services, adept at optimizing ETL pipelines with Azure Data Factory and Informatica. Achieved a 30% reduction in job execution time while ensuring 99.9% data accuracy. Strong collaborator with excellent problem-solving skills, driving data-driven decisions across multiple projects. Proficient in Python and SQL for advanced data manipulation.
Forecasting COVID-19 Patterns Using Data Engineering
Technologies: Azure Data Factory (ADF), Azure Data Lake (ADL), Blob Storage, SQL Server, Azure Databricks, HDInsight, Power BI
• Integrated data from various sources using Azure Data Factory (ADF) to facilitate comprehensive data transformation
• Conducted in-depth analysis of COVID-19 dynamics, enabling detailed insights into virus spread patterns
• Built data models and visualizations to inform precautionary measures based on analysis findings
Cybercrime Cell to Analyze Criminal Data
Technologies: Python, Tkinter, Machine Learning (KNN), Firebase
• Designed a K-Nearest Neighbors (KNN) based criminal detection system using real-time images
• Integrated state-wise crime analysis to identify regions with the highest crime rates using CSV data
• Utilized machine learning algorithms to enhance the accuracy of crime predictions and improve response strategies
On-the-Spot Award — TATA Consultancy Services,
Sep 2023, Nov 2023, Apr 2024, Oct 2024, March2025
Recognized for exceptional performance in project delivery, client engagement, and teamwork
Designed and implemented an end-to-end Azure Data Factory (ADF) pipeline to orchestrate ETL workflows between on-premise SQL Server and Azure Data Lake Storage, enabling secure and scalable data ingestion, and reducing manual data movement efforts by 70%