DARSHAN J

• Led and mentored a team of 2 junior engineers, overseeing day-to-day data platform support, development assistance, and ensuring timely issue resolution while meeting SLA commitments.
• Worked extensively with SQL, Azure Data Factory (ADF), and Azure services to support, enhance, and maintain enterprise data pipelines across multiple business domains.
• Acted as a key point of contact between business users, developers, and platform teams, ensuring clear communication, requirement understanding, and smooth delivery of data solutions.

Key Projects

• Worked on timesheet data reporting across multiple global markets, enabling business analysis of adoption and utilization metrics.
• Consolidated and validated data from multiple source systems using SQL, ensuring accurate regional and global reporting.
• Partnered with business stakeholders to define reporting logic, validate outputs, and resolve data discrepancies.

Development & Data Engineering Work

• Contributed to data engineering development activities, including updating and optimizing SQL Stored Procedures and enhancing Azure Data Factory (ADF) pipeline activities under senior developer guidance.
• Supported and improved ETL pipelines to ensure accurate data ingestion, transformation, and availability for downstream reporting.
• Performed SQL-based data analysis, debugging, and root cause analysis to validate data and resolve production issues.

Operations & Reliability

• Resolved 20–30 production incidents per month with ~90% SLA adherence, contributing to platform stability and data reliability.

Environment: SQL, Azure Data Factory, Azure, ServiceNow, Confluence

• Handled tariff classification and indirect tax analysis.
• Delivered a new client project independently.
• Managed and delivered multiple client projects simultaneously, ensuring timely completion and quality outcomes.