Khush Joshi Email & Phone Number

As a data engineer, I specialize in building and maintaining data pipelines that enable businesses to make informed decisions based on accurate and timely information. I am passionate about designing scalable and efficient data architectures that can handle large volumes of data and support complex data analysis. Throughout my career, I have worked with a variety of tools and technologies such as Azure Synapse, Snowflake, Analysis Services, Azure Data Factory, Azure DevOps, SQL, Python, Power BI. And I am always eager to learn and experiment with new ones.In my role, I was discharging few responsibilities:1. Designing and implementing data pipelines: Designing and building data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data repository or data warehouse. Responsible for ensuring the reliability, scalability, and efficiency of these pipelines.2. Maintaining and optimizing data infrastructure: Monitoring and maintaining the performance of data systems and infrastructure, including databases, data warehouses, and ETL pipelines. Optimization of these systems, to ensure they can handle large volumes of data and support complex data analysis.3. Developing and testing data solutions: Development, testing and deployment of data solutions that meet the needs of the organization. Working closely with data analysts and data scientists to understand business requirements and design solutions that enable effective data analysis.4. Ensuring data security and privacy: Responsible for ensuring the security and privacy of data within the organization. Work with security teams to implement best practices and data protection protocols to safeguard sensitive data.5. Collaborating with cross-functional teams: Collaborating with various stakeholders, including data analysts, data scientists, software engineers, and business leaders, to ensure data solutions align with organizational goals and objectives.6. Staying up-to-date with new technologies: Stay abreast of new technologies and trends in the data engineering field. Experiment with new tools and techniques to identify opportunities for improvement and innovation.If you're looking for a data engineer with a track record of delivering high-quality solutions and collaborating effectively with cross-functional teams, I would love to connect with you. Let's discuss how I can help your organization leverage the power of data to drive growth and innovation.

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  Pandit Deendayal Energy University

  8.47