Medha Sharma

Managed and optimized MySQL databases (version 8.0) for an end-to-end logistics platform, ensuring high availability and performance for critical business operations.

Successfully performed data extraction and automated reading of CSV files to import and manage datasets within MySQL databases using Python scripting. Capable of leveraging basic Python tools and libraries to streamline ETL workflows, increase data accuracy —even with beginner-level Python proficiency—by focusing efforts on targeted, business-driven assignments.

Collaborated closely with frontend and backend developers, business analysts, and data architects to design and implement scalable database solutions.

Conducted regular monthly database backups and configured new database machines, maintaining data security and operational continuity.

Led the optimization of complex queries, stored procedures, triggers, and functions, significantly improving database efficiency and responsiveness.

Designed and implemented comprehensive database schemas, tables, stored procedures, views, constraints, triggers, and functions for a data analytics platform, enhancing data integrity and query efficiency.

Optimized MySQL queries and fine-tuned database performance, effectively resolving slow-running queries in production and improving system response times.

Managed the creation and administration of multiple databases, ensuring data consistency and reliability across various modules including financials, bonds, and M&A.

Collaborated with business and development teams to translate complex analytical requirements into robust database solutions and logical structures.

Executed ETL processes for data migration and synchronization between multiple databases, ensuring coordinated progress and data accuracy.