• Developed comprehensive Python-based solution to automate patient assignment based on client specifications. This involved connecting to Snowflake database, creating a Pandas DataFrame, applying required transformations, and seamlessly transferring data to Elasticsearch for integration with the Innovaccer platform. The streamlined process ensures accurate and efficient patient selection.• Automated various tasks using Python, reducing manual effort significantly. Set up alerts to promptly detect and address any discrepancies in data, enhancing the overall integrity of the information flowing from source files to destination tables. This proactive approach ensures data accuracy and reliability.• Developed several Python accelerators to enhance the efficiency of the data pipeline. These accelerators include SFTP file alerts, SFTP to S3 transfer, Mongo to CSV, and a versatile report generator. By creating these accelerators, I contributed to substantial resource and time savings.• Built ETL pipelines to facilitate a smooth and efficient data flow within the organization ensuring the seamless movement of data from diverse sources to destination tables.

• Developed and executed strategies for data retrieval, analysis, and filtering using Python Pandas DataFrame.• Managed end-to-end deployment of Python solutions from testing to production, ensuring seamless execution.• Automated and scheduled time-consuming tasks, optimizing workflow efficiency and boosting productivity.

• Implemented the MVT architecture for web applications, ensuring a robust and scalable development framework using Django.• Proficiently debugged and troubleshooted programming issues, maintaining code integrity and application functionality.• Managed day-to-day challenges, actively fine-tuning applications to achieve optimal performance.• Leveraged Python expertise to create scalable solutions, contributing to the success of various projects.