Sujit Sahu

Managed and maintained IT applications across Linux, Hive, MySQL, PostgreSQL, NMS, and SNMP environments, ensuring high availability and performance.

Spearheaded campaign management for push, in-app, and emailer channels, contributing to business growth and user engagement.

Developed and automated HQL/MySQL queries to extract, analyze, and publish critical business reports, enhancing data-driven decision-making.

Designed and implemented interactive dashboards using Data Studio and Pulse for real-time monitoring of campaign performance and banner management.

Leveraged OTRS ticketing system for deployment and issue resolution, streamlining operational workflows and minimizing application errors.

Conducted detailed business growth analysis, identifying key trends and opportunities to optimize personal loan product performance.

Managed end-to-end campaign lifecycle (Push, In-App, Emailer), resulting in targeted customer engagement and increased loan applications.

Automated report generation using MySQL/HQL queries within internal development tools (Delheez), significantly reducing manual effort and improving reporting efficiency.

Created and maintained interactive dashboards in Data Studio and Pulse, providing stakeholders with clear insights into banner management and campaign effectiveness.

Extracted and processed large datasets using Big Query and HQL, supporting data-driven strategies for product development and marketing.

Performed business growth analysis for the "Deals" section, identifying actionable insights to drive user acquisition and revenue.

Executed and monitored multichannel campaigns (Push, In-App, Emailer) for deals, contributing to increased user participation and sales.

Prepared daily NM2 reports and utilized Google Analytics to track campaign performance, enabling timely adjustments and optimization.

Automated reporting processes with MySQL/HQL queries in internal tools (Delheez), improving data accuracy and report delivery speed.

Developed dashboards in Superset/Pulse for comprehensive visualization of banner management and campaign metrics.

Designed and implemented new database structures and built complex queries, reducing application errors and enhancing data integrity.

Developed new GUI functionalities using Python scripting, improving user experience and system manageability.

Configured and installed Nagios and OPENNMS for server monitoring, discovery, and alert systems, ensuring proactive issue detection.

Managed server additions, monitoring, configuration, and patch installations, maintaining system health and security.

Developed and implemented OTRS ticketing system API configurations, streamlining issue resolution and team communication for an 8-member team.

Spearheaded the Fashion Category Team (apparel) as Team Lead, managing catalog operations and ensuring product data accuracy.

Implemented ETL processes with the DWH team for precall services across all operational circles, enhancing data flow efficiency.

Managed content refinement processes, including descriptions, pricing, images, and size charts, to improve product visibility and buyer engagement.

Coordinated with category and Business Development teams to minimize catalog errors and ensure adherence to guidelines.

Utilized MySQL and Ganges (Hive) for data extraction and reporting, supporting category requirements and team analysis.

Maintained quality reports and conducted data analysis for advanced cataloging initiatives.