I am a results-driven Senior AWS Data Engineer with over 9 years of experience in designing and delivering scalable data engineering solutions. My expertise lies in architecting robust data pipelines, optimizing ETL processes, and managing end-to-end data workflows across cloud platforms such as AWS, Azure, and GCP.Specializing in real-time data processing, I have a strong command of tools like Kafka, Spark, and PySpark, enabling the seamless handling of high-volume datasets. My skill set includes building and scaling cloud-native solutions using AWS services (S3, Glue, Redshift, EMR), Snowflake, and Databricks. With a deep understanding of RDBMS and NoSQL databases, I excel in data modeling, performance tuning, and ensuring efficient data integration.Data security and governance are at the core of my work. I implement robust frameworks, including role-based access control (RBAC) and encryption, to protect sensitive information. My experience includes managing complex data migration projects, developing advanced analytics workflows, and supporting business intelligence initiatives with tools like Tableau and Power BI.Collaboration is a key strength, as I work closely with stakeholders to understand business objectives and translate them into impactful data solutions. Whether it's creating interactive dashboards, optimizing query performance, or leveraging machine learning tools for predictive analytics, I am committed to delivering value through innovative data strategies.I am passionate about driving efficiency and innovation in data engineering, with a focus on leveraging the latest technologies to solve complex challenges. Let’s connect to explore how my skills and experience can contribute to your organization’s data-driven success.
