Siddi Adarsh

Analyst with 2 years of experience in data migration, ETL validation, SQL development, and data quality assurance. Experienced in working with Teradata and Snowflake for enterprise data migration projects, performing source-to-target validation, data reconciliation, and reporting. Proficient in SQL, Python, Power BI, and data warehousing concepts, with strong analytical, problem-solving, and stakeholder collaboration skills.

Skilled in ensuring data accuracy, integrity, and successful delivery of data-driven solutions in consulting environments.

Analyst at Capgemini (2024-09 – 2026-07)

• Developed and executed SQL queries for data extraction, validation and reconciliation.
• Supported ETL processes by validating data transformation and loading activities to ensure successful migration.
• Performed source-to-target data validation, row count verification, null value checks, and data consistency analysis.
• Built and optimized ETL pipelines using Python, ensuring data validation and error handling.
• Executed and analyzed Python-based validation scripts to automate data reconciliation and identify migration discrepancies.
• Collaborated with cross-functional teams to investigate and resolve data quality issues during migration and testing phases.

Data Operations Intern at Deepen AI (2022-07 – 2022-09)

• Performed data preprocessing and transformation using Python (Pandas, NumPy).
• Developed scripts for data cleaning, normalization, and validation to improve data quality.
• Assisted in building structured datasets for machine learning workflows.
• Maintained documentation for Python-based data processing tasks.

B.Tech in Computer Science (Data Science) – CMR Technical Campus (2020-09 – 2024-07)