India
Results-driven Data and AI Engineer with expertise in Generative AI and Machine Learning, delivered advanced solutions for Fortune 500 companies. Proven ability to drive impactful data analytics and AI automation projects, optimizing processes and enhancing decision-making. Skilled in transforming complex data into actionable insights.
Designed a form auto-fill feature in Dynamics Customer Service using an Azure Open AI based solution. Developed Customer Engagement Solution to automate action items creation by filling up a Customer Voice Form. Created daily ETL jobs failure forecasting solution using predictive analytics machine learning techniques reducing production job failures by 35 percent Implemented automated PR pre-checks using generative AI of automated checks for smooth deployments boosting productivity by 25 percent Migrated an ETL solution in Azure to Microsoft Fabric. Optimized Spark Jobs by refactoring code, implementing caching strategies and employing multithreading by 65%. Conducted code reviews to maintain high quality standards and identify areas for improvement.
Developed CI/CD pipelines in Azure DevOps. Applied NLP, fuzzy algorithms and text-vectorization methodologies to implement an account matching solution. Designed ETL framework in Azure Synapse using Medallion architecture with rigorous end-to-end validation protocols. Designed a framework to efficiently pull data through API calls, employing multi-threading techniques and complex transformations data reducing time by 70%. Performed complex business logic transformations in Azure Databricks leveraging spark jobs. Launched a PBI reporting platform for sales and marketing insights.
Developed data pipelines to process terabytes of data daily in Azure Data Factory. Conducted insightful ad hoc analyses and in-depth examinations of specific business quandaries, for reporting. Created and developed a Flask backend and Azure function app for product recommendations system. Successfully executed pocs pertaining to personalized product recommendations, aligning with business needs. Conducted unit tests on all components of Spark Jobs to ensure accuracy of implemented solutions. Created system models, diagrams, and charts for project documentation.