07/31/2026 updated
100 % available
Senior BI Developer / Reporting Engineer
Delhi, India
Worldwide
Bachelor of Technology, Information TechnologyAbout me
Experienced BI & Data Analytics professional with 5+ years of expertise in Amazon QuickSight, SQL, Tableau, and AWS. Passionate about building scalable dashboards, automating reporting, and turning complex data into actionable business insights.
Data AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentBusiness AnalysisData VisualizationData IntelligenceMicrosoft Business IntelligenceMicrosoft Power BISalesforce TableauAdvanced ReportsData AnalyticsAWS Data AnalyticsReporting Tools
BI & Visualization
Expertise in building dashboards and reporting systems using Amazon QuickSight, Tableau, Power BI, Excel, and Google Sheets. Extensive experience translating business questions into KPIs and datasets that stakeholders can trust.
SQL & Data Modeling
Strong proficiency in writing SQL logic for KPI definitions, data validation, and dataset definitions. Experience building and rebuilding data models to support reliable, consistent reporting across platforms.
Cloud & Data Engineering
Hands-on experience with AWS services including S3 and Athena, ETL processes, Medallion Architecture, and Data Lake Design. Proven ability to map core reporting tables and define validation rules for data engineering teams.
Python for Data Analysis
Proficiency in Python using libraries such as Pandas, NumPy, and Matplotlib for data cleanup, pipeline optimization, and reporting automation. Rewrote slow data pipelines, cutting processing time by approximately 40%.
KPI Design & Reporting Automation
Experience designing KPI frameworks and setting up recurring, automated reporting that provides real-time insights to leadership, replacing manual Excel-based processes.
ETL & Data Pipeline Development
Background in building and optimizing ETL processes, including migrating legacy Tableau and Power BI reports to QuickSight with improved performance and reduced maintenance overhead.
Stakeholder Management & Requirements Gathering
Regular collaboration with operations, customer success, and product stakeholders to define reporting requirements, run UAT sessions, and ensure delivered solutions meet actual business needs.
Agile & Project Collaboration Tools
Familiarity with Agile methodologies and tools including JIRA and Confluence for project tracking, issue management, and team collaboration.
Data Validation & Quality Assurance
Experience building validation checks into data models and reporting layers, including scripting automated data discrepancy detection that caught approximately 30% more inconsistencies than manual review.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
EnglishFluent
Project history
Rebuilt the Customer Scorecard data model and transitioned it from a proof of concept to a daily operational tool. Replaced manually updated Excel reports with Tableau dashboards backed by SQL logic. Set up recurring real-time reporting for leadership on customer engagement. Created documentation and formatting templates for dashboard standards. Regularly met with operations and customer success stakeholders to clarify actual reporting needs.
Delivered a stalled QuickSight dashboard project within six months, covering 40+ KPIs across five pages for healthcare operations. Managed the full build end to end including stakeholder conversations, dataset definitions, UAT, and production deployment. Trained Operations Analysts on QuickSight, reducing ad hoc reporting requests by roughly half. Mapped approximately 20 core reporting tables across two billing platforms for a new Data Lake initiative. Worked on early data modeling for a Medallion Architecture setup and set Tableau formatting and layout standards.
Worked with Product Managers on reporting changes that added more than $50,000 a year in revenue by surfacing pricing and inventory data faster. Improved tracking of product metrics, reducing time to pull recurring analyses. Managed a small team of 3 to 5 developers building dashboards for executives, processing 5 to 7 million data points per month. Built a script that flagged data discrepancies automatically, catching about 30% more inconsistencies than manual review.