

Dynamic and results-oriented Data Engineer with an extensive 2.9 years of technical background in developing data pipelines and data models. Skilled in automating data integration processes and optimizing database structures for improved performance and accuracy. Seeking to leverage advanced data engineering skills to drive efficient handling of customer data for a progressive organization.
Programming: Python, C, Bash, Powershell, SQL
Data analysis and visualization: Numpy, Pandas, Scikit-learn, matplotlib, seaborn, Excel, plotly, Data pipeline design and implementation, Data warehousing, ETL development, Data quality management, Data analysis and visualization, SQL and NoSQL databases, Pyspark, Microsoft Azure, Machine learning and AI integration, AWS lambda, Power BI Tools
Middleware Technologies: DevOps, SaaS, IIS/Apache/Tomcat/PHP configuration and Services, E1NS, Windows/Linux/Ubuntu server, Bash/Powershell/Python Scripting
Used problem solving skills at TCS to deliver multiple complicated requirements by customer.
Utilized data analysis tools to overcome production issues, increasing efficiency by 20%.
Quickly learned and applied new datatechnologies, reducing project completiontime by 30%.
An energy prediction model of prosumers to reduce energy imbalance costs.
Predicting default of clients based on internal and external information that are available for each client.
Screening COVID-19 cases using Deep Neural Networks with X-ray images
Ref: https://www.ijariit.com/manuscript/screening-covid-19-cases-using-deep-neural-networks-with-x-ray-images/
https://www.hackerrank.com/taritsengupta19