Abhi Ram

Technical engineer with 1+ year of production experience troubleshooting data and pipeline issues using SQL, Python, Azure Databricks, and log analysis. Experienced in investigating production failures, diagnosing data discrepancies, and delivering structured RCA for P1/P2 incidents. Hands-on experience building automation for support workflows, using REST APIs with Node.js, and collaborating with Engineering and Product teams to troubleshoot defects and drive technical escalations toward resolution.

Application Support Engineer L2 - CommerceIQ - Bengaluru, India

(2025-07 - 2026-08)

• Investigated production data pipeline failures using Azure Databricks, SQL, and environment logs; validated ingestion workflows and prepared structured RCA reports for P1/P2 incidents.
• Diagnosed production data discrepancies using SQL joins, CTEs, and window functions, tracing ETL issues to root cause and identifying impact on live ecommerce metrics.
• Used CLI-based automation and REST APIs to automate support tasks, including ticket creation and repetitive operational workflows, improving investigation efficiency.
• Automated log parsing and data-validation workflows using Python, improving ticket investigation efficiency and production data-quality monitoring.
• Collaborated with Data Engineering and Product teams to analyze edge-case pipeline failures, investigate environment logs, and escalate confirmed defects for resolution.
• Supported production issues across an ecommerce SaaS platform serving enterprise/Fortune 500 retail clients, contributing to incident investigation and technical issue resolution.

Full Stack Developer Intern - Varcons Technologies Pvt. Ltd.

(2023-10 - 2023-12)

• Developed a full-stack web application using Node.js, implementing RESTful APIs, session management, and dynamic UI rendering.
• Worked across application components to implement backend functionality and integrate frontend workflows with REST APIs.

IoT Intern - Cranes Varsity Pvt. Ltd.

(2023-10 - 2023-11)

• Developed a Python-based Smart Parking IoT system using MQTT telemetry and ThingSpeak for real-time occupancy monitoring.
• Processed device telemetry and integrated data into real-time monitoring dashboards.

B.E. - Computer Science & Engineering - K.S. Institute of Technology