Abhinav Kumar

WORK HISTORY

EDUCATION

ABOUT ABHINAV KUMAR

I am a data-driven, analytical professional with hands-on experience delivering data extraction, SQL-based analysis, reporting, automation, data validation, and process improvement through global projects at Cognizant for clients including KPN (Netherlands), Wyndham Hotels & Resorts, RattanIndia Finance, and Bajaj Markets.My background spans data management, backend data workflows, API-driven pipelines, financial data validation, and dashboard development—all highly aligned with Data Analyst, Business Analyst, and Data & Analytics roles across Canada. • & : Built and optimized data pipelines integrating multiple REST APIs (KPN), improving data flow, mapping accuracy, and governance using Python, SQL, JSON, and Django. • & : Enhanced financial data reliability for Wyndham by developing Pytest test suites, identifying discrepancies, and ensuring audit-ready, compliant data • & : Improved data documentation, integrity, and cross-functional alignment while supporting backend integration for RattanIndia Finance—matching business process analysis, stakeholder collaboration, and operational reporting needs. • : Developed secure Python-based data ingestion solutions for Bajaj Markets to fetch and structure BSE mutual fund data, enabling KPI tracking, performance measurement, and analytics-ready datasets. & • Python, SQL, Django • Power BI, Tableau for dashboards, KPI reporting, and data visualization,Advanced Excel • Data validation, data mapping, documentation, governance • Exposure to Azure & cloud data environments • Understanding of data structures & • Ability to extract, analyze, and interpret large datasets • Experience supporting data governance, documentation, and data mapping requirements • Strong communication skills for cross-team collaboration with stakeholders, engineers, and business teams • A mindset built on continuous improvement, accuracy, data accessibility, and decision-ready insights ’ I’m looking to contribute to a data-driven team in Canada where I can apply my analytical skills, SQL/Python expertise, and dashboarding experience to support decision-making, process improvement, and modern analytics initiatives.