Oct 2023 – Present · 2 yrs 5 mos · Mumbai, Maharashtra, India · On-site

• Developed and maintained the Data Access Manager web application for a banking client using Python, Flask, and SQLAlchemy, improving data access efficiency.
• Designed and deployed high-throughput REST APIs, reducing response time from approximately 3 minutes to <1 second and increasing operational efficiency by 75%.
• Introduced threading and asynchronous processing, boosting application responsiveness by 35% under high load.
• Converted SQL Server stored procedures into Python scripts, enabling smoother CI/CD integration and improving system performance.
• Built interactive dashboards and a scalable in-app email system, improving workflow visibility and communication.
• Optimized SQL queries using Azure Data Studio, improving database performance by 30% for data retrieval.
• Applied SonarQube coding standards to improve code quality, reducing code errors by 25%.
• Worked in an Agile environment, contributing to sprint planning, unit and system testing, and achieving a 95% defect-free release rate, while collaborating cross-functionally with front-end developers, QA, and project managers.
• Proactively resolved critical issues during a high-stakes project transition, stabilizing the application and increasing client satisfaction.
• Migrated complex ETL workflows from a visual platform to Azure Synapse using PySpark, improving scalability and maintainability of data pipelines.
• Leveraged Azure Synapse and Azure Data Lake Storage integration to streamline cloud-native data ingestion, storage, and processing.