●Migrated MS Access databases to AWS Postgres, optimizing queries for improved performance. Enhanced overall system efficiency and reliability. Developed a comprehensive data model for migrating all MS Access tables to PostgreSQL.● Designed and maintained complex data management and processing systems, ensuring 100% error-free operations and improving database performance by optimizing SQL queries, resulting in a 30% reduction in response time.● Built scalable ETL processes using SQL and PySpark, and implemented pipelines for data ingestion from various sources, integrating data into PostgreSQL.● Collaborated with the frontend team to optimize API responses, achieving 40% faster data retrieval, and utilized Jenkins for continuous integration and delivery of software updates.

In my role as a Site Reliability Engineer at Morningstar, I designed and maintained data pipelines, automated build and deployment processes, and improved query performance to save costs and enhance efficiency.

In my role as an Associate Data Engineer at Morningstar, I spearheaded the development and maintenance of data pipelines, CI/CD pipelines, and ML/NLP orchestrations. Collaborating with technology partners, I designed and integrated DevOps tools to streamline project workflows. Notably, I implemented a quality assurance framework for financial datasets, resulting in significant cost savings. Additionally, my analysis of large financial datasets contributed valuable insights for editorial and research papers.