Indumathi Panchireddi

Power BI Developer

2+ yrs exp 85 · Excellent

About

Power BI Developer with 2+ years of experience working across Power BI, SQL, Azure Data Factory, Microsoft Fabric, Python, and data modernization initiatives. Experienced in developing interactive Power BI dashboards, migrating legacy SAP BO and Crystal Reports to Power BI, creating paginated reports, performing SQL-based data transformation and validation, and supporting end-to-end ETL workflows. Hands-on experience with Microsoft Fabric Lakehouse architecture, Medallion Architecture, Delta Lake, PySpark, OneLake, and dimensional data modeling. Microsoft Certified: Fabric Analytics Engineer Associate with a strong interest in Data Analyst, BI Developer, and Data Engineering roles.

Skills & Expertise (56)

Power BI Advanced

8.1/10

Years Exp

DAX Advanced

7.5/10

Years Exp

SQL Advanced

7.0/10

Years Exp

Azure Data Factory Advanced

7.0/10

Years Exp

Data Visualization Advanced

7.0/10

Years Exp

Python Intermediate

6.5/10

Years Exp

Data Warehousing Intermediate

6.5/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Window Functions Execution Plans CTEs Azure SQL Snowflake MySql Oracle SQL Server T-SQL Parquet Stored Procedures Query Optimization PySpark Star Schema Snowflake Schema Dimensional Modeling GitHub SSMS Azure DevOps Jupyter PyCharm Agile Scrum Semantic Models Power BI Service Power BI Report Builder Power Query (M Microsoft Excel KPI Dashboards Microsoft Fabric Lakehouse OneLake Warehouse Data Pipelines Dataflows Notebooks Delta Lake ADLS Gen2 Blob Storage ETL ELT Data Ingestion Data Transformation Data Validation Pandas NumPy Matplotlib Spark SQL

Work Experience

BI Associate – Data & Advanced Analytics

Miracle Software Systems

May 2024 - Sep 2026

Migrated 10+ legacy SAP BusinessObjects and Crystal Reports to Power BI as part of Data Modernization initiatives, supporting reporting requirements across multiple business functions. Developed and enhanced 5+ Power BI dashboards using DAX, Power Query (M), calculated measures, KPIs, filters, drill-throughs, and interactive visualizations for business reporting and analytics. Developed and migrated 10+ paginated reports using Power BI Report Builder, supporting operational and financial reporting requirements with print-ready and pixel-perfect layouts. Created and maintained 20+ report intake forms, data dictionaries, QA documents, test cases, and validation documents as part of report migration and Data Modernization activities. Designed 5+ dimensional data models using fact and dimension tables, star schema, relationships, and business measures to support scalable analytical reporting and Power BI semantic models. Developed and optimized 30+ SQL and PL/SQL queries, stored procedures, and validation scripts using joins, CTEs, subqueries, window functions, views, and aggregations for reporting and data transformation. Designed and supported 5+ Azure Data Factory ETL/ELT workflows using pipelines, datasets, linked services, triggers, Copy Activity, Lookup, ForEach, and Mapping Data Flows across multiple data sources. Implemented incremental loading and metadata-driven pipeline concepts with source-to-target mapping and data validation, reducing repetitive development effort by approximately 20–25%. Automated recurring data preparation and validation tasks using Python, Pandas, NumPy, and SQLAlchemy, reducing manual data preparation effort by approximately 20%. Applied Power BI performance optimization practices including efficient data modeling, optimized DAX measures, Power Query transformations, appropriate relationships, and report design across multiple dashboards. Developed 2+ Microsoft Fabric proof-of-concept solutions using Lakehouse, OneLake, Data Pipelines, Notebooks, Dataflows, Eventhouse, KQL Database, Warehouse, and Semantic Models. Designed 2+ Medallion Architecture solutions using Bronze, Silver, and Gold layers with Delta Lake, Parquet, PySpark, Spark SQL, and dimensional data modeling for analytical workloads.