Kshitij Singh

I am a Software Engineer driven by a strong ambition to achieve mastery, consistently applying a logical and pragmatic approach to problem-solving. I thrive in collaborative environments, where my organized and structured methodology ensures efficient project execution and high-quality outcomes.

Experience

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Software Engineer

LTIMINDTREE · Jun 2021 – Aug 2023

Not yet confirmed

• Implemented an end-to-end CI/CD codebase upgrade system in Python for 400+ websites, identifying outdated patterns and replacing it with optimized code snippets, reducing manual effort by 70% and significantly improving website performance scores.
• Automated ingestion of third-party customer datasets using Databricks and Python for rule-based validation, data cleansing, and schema enforcement, reducing processing time from hours to minutes and improving efficiency by 90%.
• Engineered Python-based automation solutions for monitoring Databricks environment for data pipeline jobs, automating JIRA ticket creation, issue tracking, and weekly status reporting, reducing manual effort by 60%+ while improving operational visibility and team collaboration.
• Enhanced website performance and compliance by building Selenium-based Python test suites for dynamic content, link validation, and cookie consent verification with backend validation, achieving 80% improvement in performance scores and validation coverage.
• Designed an end-to-end CI/CD pipeline using Jenkins, SonarQube, and JFrog Artifactory to automate build, packaging, quality checks, and Docker-based deployments.
• Built reusable API integration scripts for JIRA, ServiceNow, BigCommerce, and Azure DevOps, improving deployment efficiency and cross-platform productivity.

Software Engineer

LTIMindtree · Jun 2021 – Aug 2023

Not yet confirmed

• • Implemented an end-to-end CI/CD codebase upgrade system in Python for 400+ websites, identifying outdated patterns and replacing it with optimized code snippets, reducing manual effort by 70% and significantly improving website performance scores.
• • Automated ingestion of third-party customer datasets using Databricks and Python for rule-based validation, data cleansing, and schema enforcement, reducing processing time from hours to minutes and improving efficiency by 90%.
• • Engineered Python-based automation solutions for monitoring Databricks environment for data pipeline jobs, automating JIRA ticket creation, issue tracking, and weekly status reporting, reducing manual effort by 60%+ while improving operational visibility and team collaboration.
• • Enhanced website performance and compliance by building Selenium-based Python test suites for dynamic content, link validation, and cookie consent verification with backend validation, achieving 80% improvement in performance scores and validation coverage.
• • Designed an end-to-end CI/CD pipeline using Jenkins, SonarQube, and JFrog Artifactory to automate build, packaging, quality checks, and Docker-based deployments.
• Built reusable API integration scripts for JIRA, ServiceNow, BigCommerce, and Azure DevOps, improving deployment efficiency and cross-platform productivity.