Data Analyst Validation

GEETHA SREE THOUTULA

************@*****.*** +1-214-***-**** Denton, TX Open to Relocate

PROFESSIONAL SUMMARY

Data Analyst with 5 years of experience supporting technology-driven organizations in large-scale data environments. Skilled in designing and optimizing database solutions using Oracle Exadata and Oracle 10g, with a strong command of PL/SQL and SQL for data validation, reconciliation, and analytics integration. Expertise extends to developing and maintaining workflows for wholesale credit products, client onboarding, and KYC automation, ensuring process accuracy and compliance. Proficient with Microsoft Office Suite for reporting and analysis, and experienced in using Agile methodologies and sprint planning tools to manage multiple priorities efficiently. Recognized for analytical thinking, effective problem resolution, and the ability to communicate complex data insights to both technical and business audiences, supporting successful project delivery in dynamic enterprise settings.

EDUCATION

Master’s degree in business Analytics

University of North Texas, Denton, TX

Bachelor’s degree in commerce

Little Flower Degree College, Hyderabad, India

TECHNICAL SKILLS

Databases: Oracle Exadata, Oracle 10g, Oracle Database Tables, Oracle Views, Snowflake

Reporting & Visualization: Microsoft Excel Dashboards, Microsoft PowerPoint Presentations

Data Validation & Analytics: SQL-based Data Validation, Data Reconciliation Routines, Analytics Engines Integration (e.g., Spark)

Productivity & Collaboration: Microsoft Office Suite, Agile Methodologies, Sprint Planning Tools

Programming & Query Languages: PL/SQL, SQL, Stored Procedures

Business & Compliance Solutions: Wholesale Credit Product Workflows, Client Onboarding Workflows, KYC Automation Features, Credit Risk Analysis

WORK EXPERIENCE

Ryft, Data Analyst Nov 2023 - Present

●Developed PL/SQL queries and procedures to manage and analyze high-volume payment transaction data, supporting improved reporting and compliance across Ryft’s marketplace payments platform.

●Built and maintained Oracle Exadata database tables and views to enable scalable storage and fast retrieval of transactional records, supporting efficient analytics and business intelligence needs.

●Implemented automated data validation routines using SQL to ensure data quality and accuracy for payment operations, reducing manual intervention and supporting reliable reporting.

●Created detailed documentation and data dictionaries using Microsoft Office tools, making technical processes accessible to both technical teams and business stakeholders.

●Designed and executed test scenarios for new data features and payment interface enhancements, validating that updates integrated smoothly into Ryft’s production systems.

●Worked closely with cross-functional teams to refine business requirements for payment reconciliation and client onboarding, translating them into technical specifications and database logic.

●Developed dashboards in Microsoft Excel and PowerPoint to present data trends and usage insights to both technical and non-technical audiences, supporting informed business decisions.

●Utilized Agile methodologies to prioritize tasks, estimate effort, and deliver enhancements for Ryft’s payment data infrastructure in regular sprint cycles.

●Improved data access and reporting capabilities by building PL/SQL scripts that supported integration with multiple analytics engines, including Spark and Snowflake.

●Participated in risk assessments and proof-of-concept work for new data governance features, ensuring that Ryft’s payment platform met enterprise compliance and continuity standards.

Google, Data Engineer Jan 2020 - Jun 2023

●Developed PL/SQL scripts to support credit risk analysis and client onboarding workflows, focusing on optimizing complex queries for high-volume financial data in Oracle 10g and Exadata environments.

●Created automated reconciliation routines for wholesale credit product datasets, enhancing data integrity and compliance with internal KYC policies using robust SQL-based validations and controls.

●Designed and tested data solutions for integrating onboarding processes with enterprise systems, ensuring seamless handoff between business applications and operational data stores.

●Produced comprehensive test scenarios for new data interfaces supporting wholesale credit and KYC, validating accuracy and reliability of integration before production deployment.

●Utilized Microsoft Office suite to document business requirements, develop user training materials, and present analytical findings to technical teams and business leaders.

●Developed user-friendly dashboards and presentations in Excel and PowerPoint, translating technical data trends into actionable insights for non-technical stakeholders in credit risk management.

●Participated in Agile sprint planning and estimation sessions, helping prioritize data migration tasks and estimate resource needs for onboarding and compliance initiatives.

●Guided team members in breaking down business requirements into technical user stories, ensuring clarity and traceability throughout the delivery lifecycle of data analytics projects.

●Analyzed cross-application data flows to build an end-to-end view of onboarding processes, identifying key integration points and opportunities for business process improvement.

●Supported proof-of-concept work for new KYC automation features, collaborating with engineers and business analysts to mitigate integration risks and accelerate product validation cycles.

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