Khush Joshi

Background

About Khush Joshi

Data Engineer specialized in building and maintaining scalable and efficient data pipelines that enable businesses to make data-driven decisions with accurate and timely information. Dedicated to designing robust data architectures capable of handling large volumes of data and supporting complex data analysis. Throughout my career, I have worked with a wide range of tools and technologies, including Azure Synapse, Snowflake, Analysis Services, Azure Data Factory, Azure DevOps, SQL, Python, Power BI, Big Data, Hadoop, PySpark, FastAPI, and more. I am also keen on exploring emerging technologies like Generative AI (Gen AI) and Large Language Models (LLMs) to enhance data solutions. I hold a Microsoft certification as a Fabric Analytics Engineer Associate (DP-600), which reinforces my expertise in advanced analytics and data engineering solutions. Key Responsibilities: Designing and Implementing Data Pipelines: I build and optimize ETL pipelines to extract, transform, and load data from multiple sources into centralized data repositories or data warehouses, ensuring scalability, reliability, and efficiency. Maintaining and Optimizing Data Infrastructure: I monitor, maintain, and optimize data systems such as databases, data warehouses, and ETL pipelines to ensure they can efficiently process large datasets and support complex analysis. Developing and Testing Data Solutions: Collaborating with data analysts and data scientists, I design, test, and deploy data solutions that meet business requirements, enabling effective and actionable data insights. Ensuring Data Security and Privacy: I work closely with security teams to implement best practices for data protection, ensuring compliance with security protocols and safeguarding sensitive data. Collaborating with Cross-Functional Teams: I engage with stakeholders across the organization, including business leaders, software engineers, and data scientists, to ensure that data solutions align with organizational goals and deliver business value. Staying Current with Emerging Technologies: I continuously explore new technologies and trends in data engineering, such as Big Data solutions, AI models, and advanced data architectures, to drive continuous improvement. If you're looking for a results-driven Data Engineer with expertise in data architecture, cloud technologies, and cutting-edge solutions like Gen AI and LLM, I would love to connect. Let's discuss how I can help your organization leverage the power of data to drive growth, innovation, and efficiency.