Chandra Kala

Chandra Kala

Power Bi Developer @ Confidential

About Chandra Kala

Chandra Kala is a Power BI Developer with expertise in implementing row-level security and dynamic filtering to ensure data confidentiality. With a background in finance and experience at Cardinal Health, Chandra currently works remotely as a Power BI Developer, focusing on data modeling and optimization in Snowflake.

Work at Confidential

Chandra Kala currently holds the position of Power BI Developer at a confidential organization. Since 2022, Chandra has been working remotely in the United States. In this role, Chandra focuses on developing and optimizing Power BI solutions to meet business needs.

Previous Experience at Cardinal Health

Chandra Kala worked as a Power BI Developer at Cardinal Health from 2021 to 2022. This position was based in Ohio, United States, and was conducted in a hybrid work environment. During this time, Chandra implemented row-level security and dynamic filtering in Power BI to ensure data confidentiality and compliance with privacy regulations.

Education and Expertise

Chandra Kala earned a Master of Business Administration (MBA) degree from JNTUH College of Engineering Hyderabad, specializing in Finance. This educational background provides a strong foundation for Chandra's expertise in data analysis and reporting, particularly using Power BI and Snowflake.

Technical Skills in Power BI and Snowflake

Chandra Kala has demonstrated proficiency in Power BI by conducting training sessions and providing technical support to end users. In addition, Chandra has utilized Snowflake's features, such as clustering, indexing, and partitioning, to enhance performance. Chandra has also designed and implemented data models in Snowflake to support various business requirements.

Data Optimization and Performance Improvement

In the role of Power BI Developer, Chandra Kala has focused on optimizing query performance and data processing within Snowflake. This includes implementing strategies for improved performance and ensuring that data analysis processes are efficient and effective.

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