Contributing in the transformation and standardization of clinical lab data in real-time by adhering to CDISC and SDTM standards and performing data validation and quality checks to ensure compliance.Direct engagement with Sponsors to gather real-time requirements, delivered regular updates, and adapted the solution to ensure compliance with client specifications.

worked in development of Chatbot interface which merges Generative AI and RAG architecture to redefine conversational AI▪ Designed developed a real-time data Pipeline to process unstructured data for performing ETL operations and analyze by querying it.▪ Ingested raw data from various data sources and transform it by creating Data cleaning scripts using PySpark and SQL.▪ Used AWS Cloud services like S3, EMR,GLUE to store and process the data.▪ Automated the pipelines using Apache airflow and AWS EMR to make it scalable for Business users.▪ Implemented data visualization strategies by performing SQL queries on dataset for analysing, producingsummaries and flow charts to get the insights.▪ Managed lifecycle elements of ETL development, from robust testing to final deployment.▪ Proficiently used SAS procedures like PROC SQL, PROC Sort, PROC Freq, PROC Means etc.▪ Monitored, Automated and scheduled the SAS jobs on IBM Workload Scheduler which runs on a daily, weekly and monthly basis using Unix Shell Scripting.▪ Along with BAU tasks, currently started taking up Supporting and administration work which includes managing user roles and permission, adding new users , amend existing user's access , registering tables using SAS Management console