Vikas Rathore

Supporting operational performance reporting in a consulting setup through Azure Data Factory, Databricks, Tableau Cloud QA, and technical documentation for Lufthansa use cases.   • Supported Lufthansa Group performance management use cases in an Agile, sprint-based consulting environment from requirements clarification through analytics and reporting delivery.   • Built and documented an end-to-end Azure-based ETL/ELT pipeline using Azure Data Factory, Databricks, Unity Catalog, and Tableau Cloud, includin

Built and improved Tableau reporting for ground-operations KPIs, combining data-quality analysis, KPI logic, and reporting support in operational performance management.   • Built an end-to-end Tableau dashboard suite for Ground Operations SLA penalty tracking across Delay, Mishandled Baggage, and Service Basics, translating KPI and business-rule logic into Business Intelligence reporting, dashboard development, operational follow-up, and actionable task views for multiple stakeholder groups.   • Reviewed A

Built Tableau reporting, supported feature scoring work, and contributed to early AI prototypes, with hands-on exposure to Python, SQL, Databricks, and Azure ML.   • Built an end-to-end Tableau dashboard for Innovation Fund tracking across Lufthansa Group initiatives, translating business requirements into reporting logic and supporting data-driven visibility into innovation activities.   • Reviewed data pipeline and ETL structures used for reporting to understand how source data was prepared, transformed,

Handled lead and quote consulting across B2B accounts, with a focus on cross-selling, connecting business pain points, and client support.   • Performed cross-selling of sales lead and quote management solutions to existing and prospective distributor clients by leveraging product, workflow, and client-use-case knowledge to strengthen adoption and commercial positioning.   • Translated client needs into solution-oriented discussions by connecting business pain points with routing, reporting, and workflow ca

Analyzed lead and quote data across up to 22 B2B distributor accounts to identify follow-up patterns, routing behavior and workflow gaps, supporting sales-pipeline visibility and process improvements. Cross-sold lead and quote management products and articulated their operational ROI, while coordinating client onboarding, reporting, routing rules, user roles and API integrations with research, database and development teams.

Coordinated lead and quote operations across manufacturing accounts, translating client needs into fixes with research, database, and development teams.   • Analyzed sales lead and quote data for 22 distributor clients to identify follow-up trends, routing behavior, and workflow gaps, delivering business insights that improved pipeline visibility, follow-up tracking, and sales process execution.   • Managed end-to-end client operations for lead and quote management processes, independently handling stakehol

Coordinated lead and quote operations across 16 manufacturing accounts, aligning clients with programming, database, and research teams.   • Coordinated client communication, internal teams, and support workflows across 16 manufacturing accounts to keep lead and quote operations running consistently.   • Oversaw data and process validation for lead and quote workflows, including routing rules, conditional assignments, and opportunity alignment within Interlynx’s closed-loop sales systems.   • Coordinated wi

Improved lead-data quality and report reliability across B2B accounts through validation, QA, and structured client support.   • Reviewed and validated manufacturer sales lead data for 10 B2B clients, correcting quality issues and lead-qualification inconsistencies to improve workflow accuracy and reporting reliability.   • Performed weekly quality assurance of client-facing lead reports and system data, improving reporting accuracy and visibility into follow-up activity and account performance.   • Mana

Researched, cleaned, and standardized manufacturer lead data in Excel before upload into the internal lead-management system.   • Researched, validated, cleaned, and standardized manufacturer sales lead data in Excel for structured upload into the internal lead management system, strengthening data preparation, data quality, record accuracy, and downstream lead workflow reliability.

Worked with Dynamics 365 CRM, Microsoft 365 demos, and user-enablement material, giving me early exposure to enterprise tools and customer-data workflows.   • Maintained and enriched prospect and lead data in Dynamics 365 CRM, supporting CRM administration, structured lead workflows, and early understanding of enterprise customer management and cloud-solution adoption.   • Delivered product demonstrations across Microsoft 365 applications by creating practical user scenarios to show how cloud tools could im