RISHIKA MISHRA

Led critical data engineering initiatives for a major financial institution, focusing on automation, performance optimization, and data integrity across complex financial data pipelines.

• Led end-to-end report generation for OTC derivatives trade data, ensuring 100% accuracy and seamless alignment with downstream requirements.
• Automated data extraction, processing, and validation workflows using Python and SQL, resulting in a 30% reduction in manual effort.
• Optimized data transfer processes to downstream systems leveraging DevOps tools and practices, boosting data processing speed by 25%.
• Managed and enhanced Snowflake data storage and transformation, improving query performance and reducing storage costs by 15% through strategic data partitioning and indexing.
• Ensured 99.9% uptime for critical reporting pipelines by proactively scheduling, monitoring, and resolving workflow issues in AutoSys and Unix environments.
• Collaborated with cross-functional teams to streamline data flow and enhance report generation accuracy, reducing downstream reporting errors by 20%.

Contributed to data analysis and solution development, focusing on data quality, insights generation, and process efficiency improvements.

• Utilized advanced web scraping and rigorous data cleansing techniques, achieving a 99% data accuracy rate and enhancing overall data reliability.
• Developed customized data solutions and performed in-depth analysis using SQL and Python to address complex business needs.
• Mastered Excel for complex data modeling and visualization, providing actionable insights to senior management.
• Managed end-to-end data projects, ensuring swift and proactive implementation.
• Drove a 15% efficiency increase by innovating technology and process improvements based on data-driven insights.
• Established and maintained continuous feedback loops to refine processes across multiple initiatives, fostering continuous improvement.