Jyoti Tathe

Results-driven Data Analyst with experience in SQL, Python, PySpark, and Power BI. Skilled in ETL pipelines, data visualization, and business intelligence. Proven track record of improving data accuracy by 25%, reducing reporting effort by 40%, and delivering actionable insights for business decision-making in insurance and healthcare domains.

Data Analyst at Marsh McLennan (2024-03 – 2024-12)

Managed production ETL pipelines and improved data accuracy through advanced validation and quality checks. Reduced pipeline failures and reporting delays while collaborating with stakeholders.

• Managed 2 production ETL pipelines using PySpark and AWS Glue, ensuring 100% on-time execution
• Improved data accuracy by 25% by implementing advanced validation and data quality checks
• Reduced pipeline failures by 30% using automated monitoring with AWS CloudWatch
• Collaborated with stakeholders to resolve data discrepancies, improving dashboard reliability
• Optimized data processing workflows, reducing reporting delays by 20%
• Performed data migration validation ensuring 100% data completeness and consistency

Bachelor of Engineering in Electronics – K.K. Wagh College of Engineering