Santhosh Kumar

Experience

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  NU INFORMATION TECHNOLOGIES PRIVATE LIMITED

  Nov 2020 - Feb 2021

  Software Engineer - Trainee
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  Infosys Limited

  Jun 2021 - Sept 2023

  Systems Engineer

  Led and mentored 20+ new hires and 5+ experienced candidates.Proactively monitored batch jobs, identified and resolved problems promptly, optimized job performance, improved resource utilization, gained valuable insights to refine our data pipelines, and kept our business operations running smoothly and efficiently. Diagnosed and fixed DAG failures, enabling data integrity and reliable visualizations in MicroStrategy. Embraced proactive data hygiene, and deduplication at the ETL pipeline stage. Reconciled data sets from different sources to ensure their consistency, accuracy, and reliability across all layers.Employed a continuous data quality monitoring approach, allowing early identification of data discrepancies and timely reprocessing for enhanced data integrity. By proactively rebuilding source data, we address data quality issues, and downstream errors, improve analytical outcomes, and establish a clean foundation for accurate analytics. Analyzed trends related to batch incidents, change requests, and tasks which empowered us to identify recurring issues and refined our processes to prevent future occurrences of data delays and helped in quick fixes.Applied strong problem-solving and issue-management skills during project hyper-care phases to successfully resolve over 80 incidents. Reverse-engineered internal processes, corrected the root cause, and boosted data accuracy by 40-50%. Implemented insightful analytics using AWS, PySpark, Python, shell scripting, and SQL to orchestrate data pipelines, handle diverse data streams, and store data securely, driving effective business decisions.Drove the development of impactful reporting and analytics solutions for over 50 clients in the US, EU, and APAC, ensuring their needs were met through close collaboration and requirement gathering.Deployed, tested, and validated changes to data in Dev/QA environments, working closely with development teams to ensure accurate and reliable results. Show less

• 

  Infosys

  Oct 2023 - Mar 2024

  Senior Systems Engineer

  Led and mentored 20+ new hires and 5+ experienced candidates.Proactively monitored batch jobs, identified and resolved problems promptly, optimized job performance, improved resource utilization, gained valuable insights to refine our data pipelines, and kept our business operations running smoothly and efficiently. Diagnosed and fixed DAG failures, enabling data integrity and reliable visualizations in MicroStrategy. Embraced proactive data hygiene, and deduplication at the ETL pipeline stage. Reconciled data sets from different sources to ensure their consistency, accuracy, and reliability across all layers.Employed a continuous data quality monitoring approach, allowing early identification of data discrepancies and timely reprocessing for enhanced data integrity. By proactively rebuilding source data, we address data quality issues, and downstream errors, improve analytical outcomes, and establish a clean foundation for accurate analytics. Analyzed trends related to batch incidents, change requests, and tasks which empowered us to identify recurring issues and refined our processes to prevent future occurrences of data delays and helped in quick fixes.Applied strong problem-solving and issue-management skills during project hyper-care phases to successfully resolve over 80 incidents. Reverse-engineered internal processes, corrected the root cause, and boosted data accuracy by 40-50%. Implemented insightful analytics using AWS, PySpark, Python, shell scripting, and SQL to orchestrate data pipelines, handle diverse data streams, and store data securely, driving effective business decisions.Drove the development of impactful reporting and analytics solutions for over 50 clients in the US, EU, and APAC, ensuring their needs were met through close collaboration and requirement gathering.Deployed, tested, and validated changes to data in Dev/QA environments, working closely with development teams to ensure accurate and reliable results. Show less