Avanthi Palla

About Avanthi Palla

ETL & Data Quality Engineering4+ years of experience in ETL testing, data validation, and QA automationProficient in SQL, PL/SQL, and complex queries for data extraction, transformation, and reconciliationBuilt and tested robust ETL pipelines using Informatica PowerCenter and IICSValidated incremental and full-load processes across on-premise and cloud environmentsFocused on data accuracy, consistency, and end-to-end QA coverage for large datasets Snowflake & Cloud Data PlatformsStrong hands-on experience with Snowflake: SnowSQL, performance tuning, and data modelingTested and verified ingestion workflows from staging to warehouseFamiliar with role-based access controls, data sharing, and cloud-native designsExperience working with GCP (BigQuery, GCS) and AWS (S3) for data migration and QA🧠 Driven by Quality & AutomationPassionate about building efficient, automated testing frameworksComfortable collaborating with cross-functional teams to track issues, resolve defects, and maintain SLAsEnjoy streamlining manual processes and ensuring data reliability for BI and analyticsAlways eager to learn new tools, improve data workflows, and contribute to scalable data solutions Currently open to opportunities in ETL Testing, Data QA, or Cloud Data Validation — remote, hybrid, or on-site.

Experience

1. Quality Assurance Engineer

   Tata Consultancy Services

   Dec 2021 — Present · Bengaluru, IN

   Designed & executed ETL test cases to validate pipelines across MySQL, Hive, Snowflake, BigQuery, and Databricks.Validated incremental & full load processes, ensuring data consistency and transformation accuracy across systems.Built & automated workflows using Airflow, Informatica, and IICS; integrated data quality checks with Elevate tool.Optimized 15+ ETL jobs, reducing runtime from 6 hours to under 1 hour, saving cloud processing costs.Migrated 28+ workflows to GCP BigQuery; ensured post-migration accuracy via SQL & Excel reconciliation.Created Tableau dashboards for SLA tracking and system metrics, improving visibility for leadership.Resolved critical production issues and anomalies by performing in-depth SQL data analysis and RCA.Supported CDC, materialized views, and Zero Copy Cloning in Snowflake to optimize test coverage.

Education

• St.mary's women's engineering college

  Bachelor of Technology - BTech, Computer Science