Chandra Sekhar

Delivered end-to-end BI solutions for gaming and eGaming operations, translating business needs into scalable data architecture and reporting solutions. Led SAS to Power BI migration, modernizing legacy reporting into scalable self-service dashboards and enterprise analytics. Developed paginated reports using Power BI Report Builder, enabling regulatory, operational, and pixel-perfect enterprise reporting. Built and optimized data pipelines using Snowflake, MS SQL Server, Matillion, Amazon S3, and Amazon Redshift for large-scale gaming and transactional data. Designed data architecture and dimensional models (facts, dimensions, semantic layers) supporting enterprise reporting and KPI frameworks. Delivered performance optimization, tuning SQL and redesigning models to reduce query times from hours to minutes, improving dashboard responsiveness. Implemented data governance frameworks ensuring data quality, consistency, lineage, and compliance across enterprise datasets. Delivered advanced gaming & customer analytics including: Player engagement (EPP), churn prediction, betting patterns, app usage analytics, customer segmentation, responsible gaming (limits, usage, player health), campaign performance, eGaming operations (sports betting & iCasino), revenue reconciliation, enterprise KPI reporting, executive dashboards, Encore enterprice PFC & player value, and iCasino pricing & profitability insights. Built dashboards using Power BI (including Report Builder) and Qlik Sense for operational and executive reporting. Developed curated datasets in snowflake and semantic layers enabling scalable self-service analytics. Participated in Agile delivery cycles (sprint planning, stand-ups, retrospectives). Tools: Snowflake, MS SQL Server, Matillion, SAS, Amazon S3, Amazon Redshift, Power BI, Qlik Sense, SQL, Data Modeling, Data Architecture, Data Governance, Performance Optimization, Gaming Analytics, JIRA, Confluence

Contributed to the Business Intelligence roadmap, supporting solution design, planning, and delivery of data initiatives across banking and financial platforms. Performed data analysis, profiling, cleansing, mapping, validation, and governance to ensure high-quality, trusted data for enterprise reporting. Designed and maintained scalable data pipelines using SQL, Snowflake, and ETL frameworks to integrate data from multiple source systems into centralized BI and EDW environments. Developed robust data reconciliation processes to validate investment and transactional data across source systems and the EDW, ensuring financial accuracy and data integrity. Created technical design documentation for real-time and batch integrations, including dimensional modeling with fact tables and Slowly Changing Dimensions (SCD Type 1 & 2). Built and maintained enterprise data models, metadata layers, and semantic frameworks supporting advanced analytics and enterprise-wide reporting. Designed interactive dashboards and analytical reports using Power BI and Qlik Sense to deliver actionable business insights. Supported regulatory and risk reporting in compliance with OSFI requirements, ensuring audit-ready and accurate submissions. Implemented data modeling standards, domain dictionaries, impact analysis, version control, and role-based security using Erwin to strengthen data governance. Improved BI performance, reliability, and scalability using Azure SQL, Databricks, Data Lake, and Snowflake. Identified and resolved data quality and processing issues in collaboration with data engineering, QA, and EDW teams. Supported deployments, migrations, and releases while actively participating in Agile ceremonies (sprint planning, stand-ups, retrospectives). Tools: SQL, T-SQL, MSSQL Server, Snowflake, Amazon S3, Azure SQL, Databricks, Data Lake, Power BI, Qlik Sense, Erwin, Finacle, ADF, JIRA, Confluence

Working for The Brick Warehouse as a Business Intelligence Consultant in Canada, Edmonton AB.

Kumaran systems are service Provider Company with innovative technology to deliver Banking solutions, Retail solutions and telecom solution for various clients.

TENET • Interacting with the Business to understand the requirements. • Creating reports using SQL Reporting Services (SSRS) for customized and ad-hoc Queries. • Experience in Developing and Extending OLAP Cubes, Dimensions and data source view. • Assisted in production OLAP cubes, wrote queries to produce reports using SQL Server 2005/2008 Analysis Services (SSAS) and Reporting service (SSRS) • Developed dashboard reports using Reporting Services, Report Model and ad-hoc reporting using Report Builder. • Experience in creating Parameterized reports and Linked reports with thorough knowledge of report serving architecture. (Table, chart and matrix report). • Involved in creating calculated members, named set, advanced KPI’S for the SSAS cubes. • Developed various complex reports. • Used Tools: MS SQL Server Management Studio, SSIS, SSAS & SSRS, Citrix