Hi, I'm Chandraprakash Jha

About Me

I’m a dedicated Data Quality Analyst with 3+ years of experience ensuring data accuracy, consistency, and integrity across large-scale systems. I specialize in identifying data anomalies, automating validations, and implementing data governance frameworks that align with business goals.

My approach includes end-to-end QA processes, from defining quality rules to validating data pipelines and reporting dashboards. I work closely with cross-functional teams to build trust in data through proactive checks, root cause analysis, and continuous monitoring.

Skills

• Python (Pandas, NumPy, PySpark)
• SQL (Snowflake, MS SQL Server, PostgreSQL, MySQL)
• Power BI, Tableau, Streamlit
• Data Validation & QA Automation
• Data Governance & ETL Testing
• Data Quality Tools:
  • Deequ (AWS)
  • Great Expectations
  • Soda SQL
  • Apache Griffin
• Automation Tools: Playwright, Selenium
• Version Control: Git, GitHub

Projects

• Validation of Data Visualization Platforms: QA testing for reports and dashboards built using Power BI and Tableau by cross-verifying with backend data sources.
• ETL Pipeline Validation on Azure Data Factory: Developed robust test cases to verify data flows, transformation logic, and target load accuracy.
• Data Warehouse Testing on Snowflake: Performed source-to-target validation, schema checks, and integrity audits across multiple business domains.
• Automated Data Quality Frameworks: Built Python-based frameworks integrating tools like Great Expectations, Deequ, and Soda SQL for continuous data validation.

Contact Me

You can reach me via the form below or directly:

• 📞 Phone: +91 99306 27354
• 📧 Email: connect@chandraprakash.tech
• 🔗 LinkedIn: chandraprakash-jha-472a04112