Developed and optimized 30+ complex stored procedures in SQL Server to automate data validation, reconciliation, and anomaly detection across 20+ production datasets, reducing manual intervention by 60%.

Engineered 10+ monitoring solutions using DataDog and T-SQL, proactively identifying data quality issues such as re-retirement violations and metadata gaps across 13+ legacy registries.

Managed 25+ deployment workflows through Azure DevOps, automating pipeline execution and enabling faster and safer releases across development, staging, and production environments.

Investigated and resolved 100+ cross-registry accounting discrepancies by analyzing production data using window functions, linked servers, and cross-database joins, ensuring alignment between ledger and transactional systems across 12+ tenants.

Automated data validation for 10M+ records using Python and SQL, achieving 90% accuracy and accelerating delivery of time-sensitive business insights.

Built custom Tableau dashboards to highlight operational bottlenecks and trend indicators, leading to a 20% boost in project success rates and more proactive planning.

Improved data quality by 30% through collaborative problem-solving with engineering teams, employing SQL and data structures.

Enhanced system performance and user satisfaction by 30% and 10% respectively by integrating AI/ML models into workflows, utilizing Databricks and big data technologies.

Hold recitation sections for 120 students resulting in a better understanding of class material and score improvements

Designed comprehensive lesson plans on Quantitative Reasoning, facilitating effective knowledge transfer to students

Assisted the professor in executing lesson plans and provided valuable guidance to students during weekly office hours

Conducted evaluations of students, delivering precise assessments and prompt feedback on assignments and exams