Devashish Nalapareddy

Data Engineer and Data Science graduate with 3+ years of experience supporting enterprise data systems, SQL workflows, and production IT environments.

Background in Mechanical Engineering with experience supporting Manufacturing Execution System (MES)-like workflows, operational monitoring, and data reliability initiatives. Skilled in SQL Server, Azure Data Factory, Databricks, Power BI, and troubleshooting end-to-end data pipelines to improve operational efficiency and system performance.

Data Engineering Intern - CCS Global Tech

(2025-08)

• Provided operational support for production systems, ensuring minimal downtime by troubleshooting application, data, and system-related issues
• Assisted in supporting MES-like workflows and production data processes, ensuring smooth execution of operations across systems
• Participated in deployment and testing of new application features and workflows, validating performance before release to production environments
• Monitored system performance, job executions, and logs to proactively identify and resolve issues impacting operations
• Investigated and resolved data and application errors using SQL Server (MSSQL), ensuring data accuracy and reliability
• Assisted in testing and validating new system features and enhancements before deployment to production environments
• Supported system performance monitoring and implemented improvements to reduce processing delays and failures
• Maintained documentation and followed structured change processes, including approvals and controlled updates to production systems
• Assisted in troubleshooting Windows-based applications and system issues, ensuring stable functioning of user environments
• Collaborated with cross-functional teams to resolve system-related issues and improve workflow efficiency
• Created dashboards in Microsoft Power BI to monitor system health and operational performance

System Engineer - Tata Consultancy Services

(2020-07 - 2022-12)

• Supported and maintained 30+ enterprise production data pipelines, ensuring high availability for business-critical reporting and operational systems
• Troubleshot pipeline failures, job execution errors, and data inconsistencies, reducing operational downtime and improving system reliability
• Monitored automated workflows, scheduled jobs, and shell scripts in high-volume production environments
• Performed SQL-based data validation and root cause analysis using SQL Server (MSSQL)
• Collaborated with IT, operations, and business stakeholders to resolve workflow and system integration issues
• Supported deployment, testing, and release validation activities to ensure stable production rollouts
• Developed Power BI dashboards for KPI tracking, operational monitoring, and system health reporting
• Documented operational procedures, issue resolution workflows, and troubleshooting guidelines
• Identified recurring operational bottlenecks and contributed to process optimization initiatives

Production & Manufacturing Intern - Rashtriya Ispat Nigam Limited - Visakhapatnam, India

• Studied steel manufacturing workflows, production operations, and industrial process flow across manufacturing units
• Observed material handling, supply chain coordination, and production-line operations within integrated steel manufacturing environments
• Analyzed process stages related to raw material movement, production scheduling, and operational efficiency
• Gained exposure to large-scale industrial systems, manufacturing safety standards, and plant operations

Master of Science - Data Science - The University of Texas at Arlington (2025-05)

B.Tech - Mechanical Engineering - SASTRA University (2020-05)