BASKAR SUNDARAM

Projects

Data and Assurance

May 13, 2026 – Present

Worked on ETL and data validation for EV charging systems, ensuring accurate processing of charging session data, station status, energy consumption, billing, and transaction data. Validated data pipelines from multiple sources into Snowflake data warehouse, supporting real-time analytics and reporting for EV charging infrastructure. Performed end-to-end ETL testing for EV charging data including session data, energy usage, and billing information. Validated data extraction, transformation, and loading from multiple source systems into Snowflake data warehouse. Wrote complex SQL queries to validate data accuracy, consistency, and reconciliation between source and target systems. Developed Python automation scripts for data validation and comparison, reducing manual effort. Automated ETL validation processes using Unix shell scripting. Designed and executed BDD test scenarios using Gherkin syntax for validating business workflows. Used QuerySurge for automated ETL testing and data reconciliation. Worked with ETL tools like Informatica and Talend for validating data pipelines. Performed data quality checks for EV charging transactions and ensured accurate reporting. Used GitHub for version control and maintained automation scripts. Used JIRA for defect tracking, test management, and reporting. Collaborated with developers, data engineers, and business teams in Agile environment. Used tools like PyCharm and VS Code for automation development.

Book & Profit Domain

May 13, 2026 – Present

Worked on validating ETL processes for the Book & Profit platform in the Hotel and Traveling domain, ensuring data accuracy across booking, pricing, and reporting systems. Verified data extraction, transformation, and loading from multiple source systems into a centralized data warehouse. Conducted data reconciliation, integrity checks, and transformation logic testing to support business-critical analytics. Collaborated with cross-functional teams to address defects and improve data quality. Performed end-to-end ETL testing to ensure accurate extraction, transformation, and loading of data into the Snowflake data warehouse, adhering to business requirements. Utilized advanced SQL queries to validate data accuracy, integrity, and completeness across source systems, staging areas, and target databases like MySQL. Designed and executed manual test cases for complex data workflows, validating data mappings, transformation logic, and business rules in Agile and Waterfall environments. Automated repetitive ETL validation tasks using Unix shell scripts, reducing manual effort and ensuring consistent data quality checks. Developed Python scripts for automating data comparison, identifying data discrepancies, and improving testing efficiency. Validated Snowflake-based data warehouse processes, ensuring data ingestion, storage, and transformation met business-critical analytics requirements. Conducted extensive testing of ETL workflows designed in Informatica and Talend, ensuring seamless data integration and transformation between systems. Leveraged Query Surge for automated data testing and reconciliation, improving the speed and accuracy of validation across large datasets. Executed performance testing for ETL processes to verify efficient handling of large data volumes and identify bottlenecks in workflows. Actively participated in Agile and Waterfall SDLC processes, working with cross-functional teams to provide continuous feedback and ensure timely delivery of high-quality solutions.

Data Governance

May 13, 2026 – Present

Worked on Data Governance initiatives in the banking domain, ensuring accurate data extraction, transformation, and loading processes across compliance and regulatory reporting systems. Validated data quality, lineage, and governance rules using manual testing and SQL-based verification. Performed data reconciliation and integrity checks for critical banking datasets. Collaborated with cross-functional teams to ensure adherence to data governance standards and policies. Conducted end-to-end ETL testing to ensure data was accurately extracted, transformed, and loaded into target systems, adhering to data governance standards in the banking domain. Utilized advanced SQL queries to validate and reconcile large banking datasets, ensuring data integrity, accuracy, and compliance with business and regulatory requirements. Performed manual testing of data flows, including data extraction, transformation, and validation, ensuring all banking data governance policies and procedures were followed. Automated repetitive ETL testing tasks using Unix shell scripts and Python, optimizing test efficiency and ensuring consistency in data validation across multiple platforms. Verified data loading, transformation, and integrity in Snowflake-based data warehouses, supporting efficient analytics and decision-making for banking operations. Conducted extensive testing on ETL processes built using Informatica and Talend, ensuring seamless data transformation and integration across banking systems. Utilized Query Surge to automate data validation, ensuring accurate data loading and transformation for regulatory and compliance reporting systems. Ensured data quality by performing thorough testing on data lineage, data reconciliation, and adherence to data governance policies, ensuring banking data met regulatory compliance standards. Conducted performance testing for ETL processes to ensure banking systems could efficiently handle large-scale data transfers and transformations, meeting service-level agreements (SLAs). Actively collaborated with development and business teams in both Agile and Waterfall environments, ensuring high-quality deliverables and timely completion of data governance-related tasks.

Akris

May 13, 2026 – Present

Worked on ETL testing for Akris in the E-commerce domain, ensuring accurate data extraction, transformation, and loading for product catalogs, inventory management, and order processing systems. Validated data integrity, transformations, and business logic across multiple data sources. Performed manual testing and SQL-based validation to ensure seamless integration of e-commerce platforms with data warehouses. Collaborated with cross-functional teams to address data issues and ensure timely and accurate reporting. Performed end-to-end ETL testing to ensure data integrity, accurate transformation, and successful loading from e-commerce systems into Snowflake-based data warehouses, enhancing reporting and analytics. Utilized advanced SQL queries to validate data consistency, integrity, and business logic across multiple systems, ensuring accurate product catalog, pricing, and inventory data. Designed and executed comprehensive manual test cases for various data flows in the e-commerce platform, ensuring seamless integration and accurate data synchronization between source and target systems. Automated routine ETL validation tasks using Unix shell scripting, significantly improving testing efficiency and ensuring robust data quality checks across large-scale e-commerce datasets. Developed and maintained Python scripts for automating data comparison, validation, and performance testing, optimizing ETL testing processes and reducing manual intervention. Conducted rigorous testing of Snowflake-based data warehouses, ensuring that data accurately loaded and transformed, supporting real-time insights into inventory, sales, and customer data. Validated ETL workflows built with Informatica and Talend to ensure accurate data extraction, transformation, and loading of e-commerce data, ensuring seamless integration across platforms. Leveraged Query Surge for automated data validation and reconciliation, enhancing the speed and accuracy of ETL testing while ensuring that e-commerce data met business requirements. Ensured high-quality, reliable e-commerce data through comprehensive testing of data transformations, consistency checks, and adherence to business rules, improving overall data governance. Collaborated with cross-functional teams in both Agile and Waterfall development cycles, providing timely feedback, identifying issues, and ensuring high-quality deliverables within strict timelines for the e-commerce platform.

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