Open to opportunities

Akhil Singhal

@akhilsinghal

Power BI Developer with 6+ years building scalable dashboards and optimized data models to accelerate business decisions.

India

Message

What I'm looking for

I’m looking for a BI role where I can own dashboard delivery end-to-end, optimize SQL/DAX for speed, and build reliable data models and ETL pipelines—partnering closely with stakeholders to turn business needs into measurable impact.

I’m a Power BI Developer with more than 6 years of hands-on experience building scalable BI solutions, with over 50 dashboards developed. I focus on data modeling, DAX, SQL, and query optimization to improve performance and make insights actionable.

In my current role, I’ve collaborated with analytics teams to build custom data models and enhanced data connectivity by 80% by integrating Power BI with SQL Server, Excel, and SharePoint. I also optimized stored procedures, triggers, and indexes, reducing execution time by 70% while improving data efficiency.

Earlier, at Infosys, I led ETL pipeline development using Azure Data Factory and improved data quality and accessibility by resolving quality issues with cross-functional teams. I’ve created and deployed 50+ interactive Power BI dashboards, and my work consistently streamlined reconciliation and decision-making through automation and strong stakeholder alignment.

Experience

Work history, roles, and key accomplishments

Current

Power BI Developer

Current

Nagarro

Feb 2025 - Present (1 year 3 months)

Developed custom data models and Power BI reporting, increasing data connectivity by 80%. Optimized SQL stored procedures/triggers/indexes and improved query performance, cutting execution time by 70% and boosting data accuracy by 80% on 2M+ sales records.

Power BI DAX Power Query SQL Server Data Modeling ETL Query Optimization Stored Procedures data transformation

Senior Associate Consultant

Infosys

Nov 2019 - Feb 2025 (5 years 3 months)

Built and maintained ETL pipelines with Azure Data Factory to ingest and distribute data into Azure Data Lake, improving data accuracy by 75%. Delivered 50+ interactive Power BI dashboards and reduced SQL processing time by 50%+, accelerating decision-making by 70%.