Revanth P
Senior Power BI Developer / BI Engineer at T-Mobile
- Role
- Senior Power Bi Developer Bi Engineer at T-Mobile
- Location
- Hackensack, NJ, US
- LinkedIn followers
- 500 followers
About Revanth P
Senior Power BI Developer / BI Engineer with 8+ years of experience architecting, delivering, and scaling enterprise analytics platforms across finance, operations, and executive leadership domains.• Deep expertise in semantic modeling, advanced DAX engineering, and performance optimization for large-scale analytical systems handling 100M+ row datasets.• Proven ability to design enterprise BI architectures on Power BI Premium and Microsoft Fabric, supporting high-concurrency usage and mission-critical reporting.• Strong background in data engineering integration, ETL/ELT pipelines, and cloud-based analytics platforms bridging BI and data platforms.• Extensive experience in BI governance, security, and platform management including RLS, certified datasets, DEV/TEST/PROD pipelines, and enterprise deployment strategies.• Track record of driving analytics adoption through scalable self-service BI, thin-report architectures, and governed semantic layers.• Expert in translating complex business problems into robust, scalable analytical solutions that deliver measurable operational and financial impact.• Trusted technical leader and stakeholder partner, enabling data-driven decision-making through high-performance analytics ecosystems.Skills BI & Analytics: Power BI Desktop, Power BI Service, Power BI Premium, Microsoft Fabric, OneLakeData Modeling: Star/Snowflake Schema, Semantic Models, Certified Datasets, Composite Models, AggregationsDAX Engineering: Advanced CALCULATE, Iterators (SUMX/AVERAGEX), Time Intelligence, Calculation Groups, Dynamic KPIsData Engineering / ETL: Power Query (M), Azure Data Factory, Fabric Pipelines, Incremental Refresh, Query FoldingDatabases & SQL: SQL Server, Azure SQL, Synapse SQL, Snowflake, PostgreSQLSecurity & Governance: RLS, Object-Level Security, Workspace Governance, Dataset CertificationDevOps & Performance: Deployment Pipelines, DEV/TEST/PROD, Git, DAX Studio, VertiPaq AnalyzerProgramming: Python (Pandas, NumPy), Excel (Power Pivot), SSMS
Experience
Senior Power Bi Developer Bi Engineer
Jul 2024 — Present · Bellevue, WA, US
Responsibilities• Own enterprise Power BI architecture on Premium capacity supporting 500+ active users and 40+ dashboards with >100 production reports.• Architect semantic layer strategy using certified datasets, thin-report models, and shared semantic architectures for scalable self-service BI.• Design and maintain enterprise data models handling 100M+ rows with optimized star schemas, aggregations, and composite models.• Engineer advanced DAX frameworks including calculation groups, dynamic KPIs, scenario analysis, financial intelligence, and custom time intelligence.• Implement incremental refresh, partitioning strategies, and aggregation tables reducing refresh durations by 40–60% and improving report load performance by 30%+.• Lead Power BI Service architecture including workspace governance, app distribution models, deployment pipelines, and DEV/TEST/PROD separation.• Design and enforce enterprise security architecture using RLS and object-level security aligned with compliance and audit frameworks.• Execute deep performance optimization using DAX Studio, VertiPaq Analyzer, Performance Analyzer, and query folding diagnostics.• Integrate Power BI with Microsoft Fabric, Synapse, and OneLake for cloud-native analytics architectures.• Build hybrid ETL/ELT pipelines using Alteryx, Azure Data Factory, Fabric pipelines, and Power Query for enterprise data transformation.• Develop Python-based data processing and validation workflows (Pandas, NumPy) for data quality checks, reconciliation, and analytical preprocessing.• Collaborate with data engineering teams to optimize ingestion pipelines and transformation logic.• Act as enterprise SME for Power BI architecture, Fabric analytics strategy, BI governance, and analytics engineering.Environment / Tools: Power BI Premium, Microsoft Fabric, Synapse, OneLake, Azure Data Factory, Alteryx, Python (Pandas, NumPy), Power Query, DAX Studio, Git, DEV/TEST/PROD
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