Data Engineer | Expertise in PySpark, Big Data, and Azure Solutions• Data Engineer with over 2 years of expertise specializing in designing and implementing scalable data-driven solutions. Proficient in building robust data pipelines for processing large datasets, ensuring seamless integration and high efficiency.• Skilled in Azure cloud platform, with extensive experience using Azure Data Lake, Azure Databricks, and Azure Synapse. Adept at leveraging cloud services for optimized data storage, processing, and cost management.• Expertise in PySpark and Hadoop for data transformation and analysis, significantly improving the performance of ETL processes. Achieved a 40% reduction in processing time by implementing complex data cleaning and transformations.• Hands-on experience in data engineering across various industries, including IT and services, with a focus on integrating and maintaining scalable data solutions.• Proficient in data engineering tools such as SQL, Python, Apache Spark, and Databricks, enabling efficient and secure data workflows. Demonstrated success in optimizing data storage by 25% and improving query performance by 30%.• Experienced in collaborating with cross-functional teams to tackle data challenges and ensure data accuracy. Worked closely with departments to streamline operations, contributing to a 30% increase in efficiency.• Strong understanding of ETL processes and real-time data streaming, implementing solutions to support business decision-making. Successfully migrated legacy data to cloud-based environments, enhancing system reliability and performance.• Committed to staying updated on emerging data technologies, focusing on innovation and delivering tailored solutions to meet unique business requirements.Let’s connect if you are looking for someone with hands-on expertise in optimizing data processes and enhancing data reliability.
