•Leading a team of five in the migration of multiple ADF pipelines to Databricks workflows, saving the client over a year of work, with continuous testing using GitHub Actions.• Maintains and continuously improves 200+ ETL pipelines for clients using Apache NiFi, seamlessly orchestrating data flow from third-party servers to Azure.• Integrated state-wise tax calculations and streamlined sales order generation, processing $5M in tax payments through Avalara for third-party customers.• Expertly crafted SSIS packages and optimized data movement with T-SQL, reducing the team's Excel workload by 80%.• Developed bespoke ADF pipelines tailored to client needs, enhancing data integration efficiency andshowcasing problem-solving skills.• Streamlined the migration process from On-prem Raw to Azure, resolving critical ETL NiFi flow issues for Kroger client under tight deadlines.• Ensured smooth operations by handling cumbersome procedures during pre-outages and post-outages.

•As an intern, I worked on the creation of an AI-Enabled B2B Invoice/Bill Management application to help businesses effectively manage finances and maintain a healthy cash flow. I leveraged machine learning regression algorithms such as Linear Regression, Random Forest Regression, and XGBoost Regression to predict payment dates and invoice aging buckets, utilizing technologies including Python for data analysis, and Java Servlets, React, and JavaScript for development.•I contributed to creating a robust and user-friendly application by combining cutting-edge technologies and data analysis tools. The use of various regression algorithms ensured accuracy and effectiveness, automating the invoice management process and providing a powerful tool for businesses.