Ankesh Sharma

WORK HISTORY

EDUCATION

ABOUT ANKESH SHARMA

I am a Senior Data Quality Assurance Engineer with a decade of experience specializing in ensuring accuracy, integrity, and reliability of large-scale data platforms. I have strong expertise in data quality validation, ETL testing, cloud migrations, and data pipeline testing, working extensively with GCP, BigQuery, Spark (Scala), and Airflow.Currently at Dun & Bradstreet, I play a key role in validating high-volume data systems handling 200M+ transactions per day, supporting cloud migration from AWS to GCP, and performing end-to-end data validation from raw ingestion layers to curated consumer datasets. My work involves deep data profiling, reconciliation, and anomaly detection across formats such as JSON, XML, Parquet, and Avro.I have hands-on experience designing data testing strategies, validating complex transformations using BigQuery SQL and Spark, and ensuring data readiness for analytics and downstream consumers. I regularly collaborate with data engineers, product managers, and business stakeholders, contribute to release management, and mentor QA teams to improve delivery quality and consistency.Earlier in my career, I worked across Snowflake-based validation, API testing (Postman, RestAssured), and test automation using Selenium and Appium, giving me a strong foundation in both data and application quality assurance. Key Strengths: Data Quality & ETL Testing BigQuery, Spark (Scala), Snowflake GCP Cloud Data Platforms Data Profiling, Governance & Lineage Large-Scale Data Validation Stakeholder Communication & Team MentoringI am passionate about data quality engineering, building robust validation frameworks, and enabling trustworthy data for business decision-making. Open to opportunities in Data Quality Engineering, Data Validation, and Cloud Data Testing roles.