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Sai Srinivas Pedhapolla

@saisrinivaspedhapoll

Data Analyst at Goods Unite Us improving business data quality and PII compliance for AI training.

At Goods Unite Us, I design data validation and quality assurance processes for business datasets used in AI training. I also implemented data privacy and PII management protocols, reducing exposure risks by 30%.

Previously, I built data pipelines at Webdaddy and optimized SQL queries at Findem. In my projects, I’ve developed data lakehouse workflows, order anomaly detection, and dbt-based data quality checks.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer/Analyst

Current

Goods Unite Us

Sep 2025 - Present (1 year)

Designed data validation and quality assurance processes for large business datasets, improving data accuracy and relevance for AI training. Implemented data privacy and PII management protocols, reducing exposure risks by 30%.

Data Analysis Data Quality Assurance Data Privacy PII SQL Root Cause Analysis Data Profiling Document Review

Data Engineering (R&D)

Webdaddy

Aug 2024 - Feb 2025 (6 months)

Built scalable data pipelines processing over 10 million business records monthly, integrating rigorous data analysis and quality assurance for completeness. Conducted document review and data validation under strict data privacy regulations, reducing data errors and ensuring PII protection.

Data Engineering Data Pipelines Data Analysis Data Quality Assurance Data Privacy PII Protection Logging Error Handling Root Cause Analysis

R&D Data Analyst

Findem

Jul 2023 - Dec 2023 (5 months)

Optimized complex SQL queries to enhance data accuracy and profiling, supporting reliable analysis of large-scale business datasets for AI training. Validated dataset completeness and quality assurance through detailed data review and document analysis.

SQL Data Analysis Data Profiling Data Quality Assurance Data Validation Power BI Data Testing