Data Engineer/Power BI Developer

TEENA METTU

Senior Azure Data Engineer Microsoft Fabric Engineer Power BI Architect

Active Public Trust Clearance

Ph: 571-***-**** Email: **********@*******.*** Ashburn, VA 20148

Professional Summary

Senior Azure Data Engineer and Microsoft Fabric Engineer with 11+ years of experience designing enterprise-scale analytics and modern data platforms. Expertise in Microsoft Fabric, Azure Data Factory, Azure Databricks, Synapse Analytics, Power BI, SQL Server, Python, and PySpark. Proven experience building Medallion Architecture, Lakehouse solutions, semantic models, and scalable ETL/ELT pipelines supporting enterprise reporting and self-service analytics. Extensive experience delivering enterprise-scale cloud data platforms, analytics modernization initiatives, and business intelligence solutions using Microsoft Fabric and Azure technologies. Active Public Trust Clearance.

Core Competencies

Enterprise Business Intelligence Solutions

Microsoft Fabric Architecture & Analytics

Power BI Dashboard Development

Data Engineering & Modern Data Platforms

Data Warehousing, Lakehouse & OneLake

ETL/ELT Design and Automation

Advanced Data Modeling & Semantic Models

Data Governance, Security & Compliance

SQL, Python & PySpark Development

Performance Optimization & Scalability

Azure Data Factory, Databricks & Synapse

Agile Delivery & Cross-Functional Collaboration

Technical Certifications

Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft Certified: Power BI Data Analyst Associate

Tableau Certified Data Analyst

Education

Master of Computer Science Engineering – New York Institute of Technology, NY May 2014

Bachelor of Electronics and Communications – JNTUH, India May 2012

Technical Skills

Microsoft Fabric: OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Fabric Notebooks, Direct Lake, Semantic Models, Deployment Pipelines, Power BI

Cloud & Data Platforms: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, ADLS Gen2, Azure Key Vault, Azure DevOps

Programming & Querying: SQL, T-SQL, Python, PySpark, Spark SQL, DAX, Power Query (M)

BI & Reporting: Power BI, DAX, Power Query, Semantic Models, SSRS

Microsoft BI Stack: SSIS, SSAS (Tabular & Multidimensional), Power BI Service

Data Engineering: ETL/ELT, Medallion Architecture, Star Schema, Snowflake Schema, Lakehouse, Data Warehouse, Incremental Loading, Data Quality, Data Governance

DevOps: Azure DevOps, Git, CI/CD, Agile/Scrum

Professional Experience

United States Department of Agriculture – Washington, DC April 2019 – Till date

Senior Azure Data Engineer/Microsoft Fabric

Designed and implemented enterprise-scale Microsoft Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Notebooks, and Power BI.

Built end-to-end ETL/ELT pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Azure Databricks, and PySpark to process structured and semi-structured data.

Designed Medallion Architecture (Bronze, Silver, Gold) improving data quality, governance, and analytics readiness across enterprise reporting platforms.

Developed scalable semantic models using Direct Lake and Star Schema, significantly improving Power BI report performance.

Created reusable Fabric notebooks for large-scale data transformation and orchestration.

Implemented incremental data loading, partitioning, and optimization strategies to reduce ETL processing time by up to 40%.

Built over 50 enterprise Power BI dashboards supporting executive reporting and operational analytics.

Developed advanced DAX calculations, KPIs, calculation groups, and time intelligence measures.

Implemented CI/CD using Azure DevOps deployment pipelines and Git version control for Microsoft Fabric and Power BI solutions.

Configured Row-Level Security (RLS), workspace governance, and deployment pipelines across multiple environments.

Collaborated with business users, architects, and engineering teams following Agile/Scrum methodologies.

Performed production support, root cause analysis, monitoring, and performance tuning for enterprise analytics solutions.

Developed PySpark notebooks in Azure Databricks for large-scale data transformation.

Optimized Spark jobs using partitioning, caching, and broadcast joins.

Processed millions of records using distributed Spark workloads.

Developed reusable semantic models supporting enterprise self-service BI.

Implemented Composite Models and Direct Lake architecture.

Optimized report performance using DAX Studio, Performance Analyzer, and query optimization techniques.

California Earthquake Authority -Sacramento, CA Oct 2016 – Dec 2018

BI Developer (SSIS, SSRS, SSAS)

Designed and developed a centralized data warehouse using star schema for sales and operations data

Built complex SSIS packages to extract and transform data from ERP, CRM, and flat file sources

Developed SSAS cubes (tabular & multidimensional) enabling fast analytical queries

Created SSRS reports with parameterization, drill-down, and subscription features

Improved ETL performance by implementing parallel processing and efficient indexing strategies

Reduced report generation significantly by optimizing cube design and aggregations.

Developed and maintained Tableau dashboards to monitor earthquake insurance policy trends, claims activity, premium collections, and operational KPIs, enabling data-driven decision-making for business stakeholders.

Created interactive Tableau reports by integrating data from multiple sources, implementing calculated fields, parameters, and filters to provide detailed analysis of policyholder, claims, and financial performance metrics.

Microsoft – Redmond, WA Apr 2015 – Sep 2016 Power BI & SSAS Developer

Developed enterprise-level Power BI dashboards to track KPIs, financial metrics, and operational performance

Built advanced DAX calculations (YTD, QTD, rolling averages, forecasting models)

Designed optimized SSAS tabular models to support high-performance reporting

Implemented row-level security (RLS) for secure data access across business units

Improved dashboard performance by redesigning data models and reducing unnecessary joins

Partnered with stakeholders to translate business requirements into actionable insights

ADP – Salem, NH Sep 2014 – Mar 2015

SQL & SSIS Developer

Developed SSIS packages to integrate payroll data from multiple sources into centralized databases

Wrote complex SQL queries, stored procedures, and functions for payroll processing

Implemented data validation and error-handling mechanisms to ensure data accuracy

Automated ETL workflows, reducing manual effort and improving processing reliability

Assisted in troubleshooting production issues and optimizing existing ETL jobs.

Key Projects

Built scalable Azure-based data platform handling large-scale structured and semi-structured data

Delivered executive dashboards improving decision-making speed and business visibility

Designed enterprise data warehouse supporting multiple reporting tools and analytics needs

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