Logesh V

Detail-oriented engineer with hands-on experience in SQL, Python, data validation, and data-quality processes, eager to grow into a data-engineering role building and maintaining reliable data pipelines. Strong foundation in writing complex SQL queries, transforming and validating data, and troubleshooting data issues across enterprise environments, with a working understanding of ETL concepts, data integration, and data-quality frameworks. Experienced in cross-checking data accuracy, completeness, and consistency, building Python automation for data workflows, and managing code with Git/GitHub.

Currently building hands-on skills in PySpark, Databricks, and cloud data platforms, with genuine enthusiasm for end-to-end data lifecycle management. Brings a strong analytical mindset, attention to detail, clear communication, and a real eagerness to learn modern data-engineering tools and contribute to high-quality, timely data delivery for analytics and reporting.

Test Engineer (Data Validation & Quality) - Agilysys - Chennai, India

(2026-02)

• Perform data validation checks using SQL across enterprise product modules — verifying accuracy, completeness, and consistency of data, and identifying discrepancies.
• Use SQL and Python to extract, transform, and cross-check datasets, building validation logic and surfacing data-quality issues for the team.
• Troubleshoot data and configuration issues, document findings, and collaborate with developers to ensure reliable, high-quality data within sprint cycles.

Engineer (Data Validation & Quality) - Cognizant Technology Solutions - Chennai, India

(2024-11 - 2026-01)

• Performed daily data validation checks across enterprise healthcare data — verifying accuracy, completeness, and consistency between source systems, application actions, and database states.
• Wrote and optimised complex SQL queries (joins, subqueries, window functions, aggregations) to extract, transform, and validate data, ensuring high data integrity.
• Built Python automation scripts to clean, transform, and cross-check datasets and parse logs, reducing manual data-validation effort by approximately 40–60%.
• Extracted and integrated data from multiple sources — APIs (Postman), relational databases, and flat files — validating end-to-end data accuracy across the flow.
• Applied data-quality and error-handling logic to identify, log, and resolve data issues, contributing to more reliable and consistent data delivery.
• Generated and circulated validation results, run summaries, and status reports to stakeholders, maintaining clear documentation throughout each cycle.
• Collaborated with cross-functional and data/BI-adjacent teams on data integration, requirement mapping, and reporting support in Agile sprints.
• Managed all queries, scripts, and configurations using Git/GitHub, following version-control best practices for reproducible, collaborative work.

B.E. - Computer Science & Engineering - Jerusalem College of Engineering (2020 - 2024)

HSC - CBSE - St. Britto's Academy (2020 - 2020)

SSLC - CBSE - St. Britto's Academy (2018 - 2018)