Krishna Neelamraju

Data Engineer at Insightfactory.Ai

Based in Melbourne, Australia

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Seniority

Staff

Department

Information Technology

Location

Melbourne

Industry

IT Services and IT Consulting

Company size

34

Contact information

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Email

1 credit

k•••••••@insightfactory.ai

Phone

5 credits

+61 ••• •••• ••••

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Background

About Krishna Neelamraju

Embarking on my IT journey as a BI Developer, I not only learned how to turn raw data into valuable insights but also started to develop my knowledge around analytics. During my career as a Data Engineer, I have embraced the constantly changing world of data where the main goal is serving the novel technology platforms such as Microsoft Azure Data Factory and Databricks. As a Databricks Certified Data Engineer Associate, I bring expertise in utilizing the power of Databricks and PySpark to architect robust data solutions. Moreover, my proficiency in Azure Data Factory allows me to orchestrate efficient data pipelines, ensuring seamless integration and transformation of diverse data sources. Data engineering is not the only skill set that I belong to; I have an expertise in Power BI as well, which I employed to make insightful data visualizations. Regardless of using Azure Data Factory for ETL processes, data pipeline architecture, or its quality improvement, I will utilize the power of these tools one-way-or-another to provide better-than-expected solutions. Leading in situations that are forward-thinking and require creativity, I have met every challenge with verve and energy. My passion for continuous learning is precisely the amount of time I put into building my skill set, making sure the set of skills remain cutting-edge and most importantly they are geared towards being updated with Azure Data Factory's latest features and capabilities. When I work as a team member, my collaborative skills stand out, and using creativity plus problem-solving brings the projects to a successful completion. I love digging into data details and discovering gems which are later used to propel strategies to the next level. To get in touch and show how my proficiency in Azure Data Factory, Power BI, and data engineering can contribute to your company's victory together.

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