
Results-driven Business Intelligence Engineer with 5+ years of experience in designing, developing, and implementing end-to-end data pipelines and business intelligence solutions. Skilled across the Microsoft BI Stack, Azure ecosystem, and Microsoft Fabric with expertise in ETL/ELT, data modeling, and analytics. Proficient in Power BI for enterprise reporting, including RLS, deployment pipelines, governance, and publishing apps. Experienced in PySpark, Fabric Lakehouse, and Delta tables for modern data engineering solutions. Recognized for stakeholder collaboration, requirements gathering, and transforming data into actionable insights through compelling storytelling and visualizations.
Data Engineering ( SQL, SQL Server Integration Services)
Microsoft Azure (Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL)
Microsoft Fabric (Dataflows, Delta tables, Lakehouse, Warehouse, Pipeline, Semantic Model, Pyspark notebook)
SQL Optimization
MS SQL Server (T-SQL, Stored Procedures, Views, Functions)
SQL Optimization & Performance Tuning
Indexing strategies (Clustered, Non-Clustered, Covering Indexes, Statistics)
Data Warehousing(Star Schema, Snowflake, Fact, Dimension)
Data Modeling, Data Cleaning, Transformation & Profiling
Business Intelligence & Reporting (Power BI Desktop, Looker Studio, Metabase, Power Query)
SSAS (DAX & MDX), RLS, SSRS
Azure DevOps (Boards, Wiki, Repo)
CI/CD Pipelines
GitHub
Jira
Stakeholder Collaboration & Requirement Gathering
Data Storytelling & Visualization
Strong Communication & Presentation Skills
Time Management & Conflict Resolution
Decision Making & Problem Solving
Team Leadership & Collaboration
Team Player
Continuous Learner
Self-Motivated