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Power BI Developer with 4+ years in Power BI & SQL Server
Business Intelligence Developer with 4+ years of experience in SQL Server Reporting Services (SSRS), Power BI, SQL Server (T-SQL), and ETL processes. Experienced in designing and delivering enterprise-level Finance, Plant Maintenance, Purchase, Daily Transaction, and Operational reports across multiple business units. I am skilled in building dynamic, parameterized reports, optimized SQL datasets, and interactive dashboards that improve reporting efficiency and decision-making. Hands-on experience in SQL Server administration including user management, backup & restore, performance tuning, indexing strategies, and query troubleshooting. Strong understanding of financial reporting structures, hierarchical grouping logic, and multi-entity consolidation reporting within large organizations.
Torrens University, Australia
MBA
August 1, 2020 – June 30, 2020
Muffakham Jah College of Engineering, Hyderabad
BE · Mechanical Engineering
August 1, 2016 – June 30, 2016
Greenko Group
BI Developer | Assistant Manager - DWBI
January 1, 2023 – Present
Hyderābād, Telangana, India
Waisl Limited
Senior Engineer
August 1, 2021 – December 1, 2022
Hyderābād, Telangana, India
Enterprise Finance & Statutory Reporting System (SSRS & SQL Server)
January 1, 2023 – June 1, 2026
Designed end-to-end financial reporting framework covering Notes to Accounts, Trial Balance-based summaries, Income Statements, and consolidated multi-entity reports. Built structured hierarchical group reports with dynamic drilldown functionality for audit and management review. Automated parameterized reporting across 100+ entities, reducing manual preparation effort by 60%. Improved dataset efficiency through indexing and query optimization techniques.
Plant Maintenance & Operational Reporting Suite
January 1, 2023 – June 1, 2026
Developed Plant Maintenance reports tracking maintenance cost, asset performance, downtime metrics, and service schedules. Created Daily Transaction Reports summarizing plant-level financial and operational movements. Designed Operational MIS dashboards for performance tracking across cost centers and business units. Integrated MSSQL and Redshift datasets for near real-time visibility into plant operations.
Purchase & Procurement Analytics Reporting
January 1, 2023 – June 1, 2026
Built Purchase Reports covering vendor transactions, procurement trends, and payment analysis. Created consolidated purchase summaries with dynamic filtering and drilldown capabilities. Improved procurement reporting accuracy by restructuring transactional data into summarized analytical views.
Procurement & Operational KPI Dashboard (Power BI)
August 1, 2021 – December 1, 2022
Developed interactive dashboards highlighting procurement spend, vendor delays, and cost-saving trends. Replaced manual Excel reports with automated Power BI dashboards, improving management visibility and reporting efficiency.
Preparing Data for Analysis with Microsoft Excel
Coursera
June 1, 2026 – Present
AWS Cloud Practitioner
Amazon
June 1, 2026 – Present
Harnessing the Power of Data with Power BI
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across finance, plant maintenance, procurement, and operational reporting indicates a broad understanding of business domains. Their experience in large organizations (Greenko Group) and exposure to various reporting needs suggest adaptability to different business cultures. The blend of SSRS and Power BI skills, along with SQL and cloud data sources (Redshift), shows a willingness to work with diverse technologies and evolve with industry trends, which aligns well with a dynamic BI environment.
Soft Skills & Operational Fit
The candidate demonstrates strong detail-orientation in designing structured reporting frameworks and a performance-focused approach to optimizing query execution. Their experience working with Finance, Operations, and IT teams indicates cross-functional communication skills. The ability to adapt to modern BI tools while managing legacy systems suggests a pragmatic and adaptive operational fit.