Brahmaiah Pullalacheruvu
Senior BI Consultant
- Role
- Sr Power Bi Developer at BMO U.S.
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Brahmaiah Pullalacheruvu
10+ years of BI experience delivering enterprise analytics using Power BI, SSRS, SSIS, Tableau, Oracle BI, and Azure Data Factory.Led end-to-end Power BI solutions—requirements, data modeling, DAX, deployment, governance, and user enablement.Designed and optimized high-performance Power BI dashboards with complex data models, multi-source integration, and advanced visualizations.Expert in DAX, Power Query (M), data modeling, relationships, RLS, and Power BI Service administration (workspaces, apps, gateways, pipelines).Built scalable ETL pipelines using ADF, SSIS, Databricks, Alteryx, integrating Azure SQL, Synapse, Data Lake, Snowflake, AWS, and BigQuery.Developed SSRS & Paginated Reports with optimized SQL, stored procedures, and performance tuning.Automated BI operations using Power Automate, Power Apps, Python, and Power BI REST APIs for refresh, monitoring, and report bursting.Partnered with business leaders and managed onshore/offshore teams to align BI strategy with organizational goals and drive adoption.
Experience
Sr Power Bi Developer
Jun 2023 — Present · IL, US
Power BI | BI Developer | Data Engineer | Azure | Snowflake | SQL | ADF | SSIS | SSRS | DatabricksResults-driven BI Developer with hands-on experience in designing and developing end-to-end Business Intelligence solutions using Power BI, Azure Data Factory, Snowflake, SQL Server, and SSIS/SSRS. Skilled in creating dynamic dashboards, data models, and visualizations with DAX, Power Query, and complex data integrations across multiple platforms. Proficient in building and optimizing Power BI dashboards with drill-down analytics, role-level security, and automated data refresh using Power BI Gateway & Power Automate. Expertise in ETL pipeline design, data modeling (Star & Snowflake schemas), and working with cloud data platforms—Azure Synapse, Snowflake, and Big Query. Strong SQL/PLSQL, T-SQL, and Python skills for data processing and automation. Experienced with REST APIs, Data Bricks, and ADF pipelines for advanced data ingestion and transformation. Collaborative team player focused on data accuracy, performance, and delivering impactful business insights.
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