Anushaa Arjunan

• Established processes and standards for monitoring data quality, ensuring organizational accuracy and reliability.
• Analyzed large datasets to uncover trends, patterns, and correlations for strategic business insights.
• Generated reports and compiled data for analytics on key performance and operational metrics.
• Identified data stewards across various domains, enhancing accountability in data management practices.
• Collaborated with cross-functional teams to define and implement data quality metrics aligned with governance policies.
• Conducted root cause analysis of discrepancies, recommending solutions for remediation and control measures.
• Performed data profiling and analysis on large datasets, implementing corrective actions to improve integrity.
• Created automated reporting systems that provided regular insights into data quality trends.

• Analyzed large datasets using SQL to identify trends and inform strategic decisions.
• Collaborated with cross-functional teams to define requirements for data-driven solutions.
• Sourced and assessed data quality for over 40 Critical Data Elements across divisions.
• Conducted ad-hoc analyses, enabling business units to make informed decisions.
• Led data collection and cleaning processes to ensure consistency and quality.
• Authored functional specification documents, detailing attributes for data flow.
• Migrated one terabyte of data between databases using Oracle export/import utility.

• Designed and executed data migration from legacy systems to modern databases.
• Developed database objects in relational databases focusing on schema design and indexing for efficient data management.
• Conducted performance tuning on existing databases to enhance system responsiveness.

Collaborated with stakeholders to define business rules for API and web service validation.

Utilized agile methodologies to manage projects through Jira dashboards.

Facilitated daily scrums, organized product backlogs, and crafted user stories with clear acceptance criteria.

• Created stored procedures, triggers, tables, views, and functions to improve database functionality.