Guru N.

As an accomplished AWS Data Engineer with nearly 6 years of hands-on experience, I specialize in creating and implementing robust data warehousing solutions, cloud computing, and seamless ETL processes. My professional journey includes significant contributions to high-profile clients such as Synchrony Financial and Accenture. At Synchrony Financial, I’ve designed enterprise data lakes and developed real-time data transformations using AWS Glue, Spark Processing, Kinesis Streaming, and other AWS services, ensuring data-driven decision-making and actionable insights. My technical acumen extends to managing AWS EMR clusters, automating processes with AWS Lambda and Step Functions, and handling large-scale data ingestion and transformation. Recognized for my exceptional work ethic with awards like the Accenture Celebrates Excellence (ACE) award and the Rising Star Award, I bring a proven track record of delivering high-quality results. My skill set spans SQL, Python, PySpark, and a deep understanding of both dimensional and relational data modeling. I thrive in Agile environments and am proficient with version control systems like Git and continuous integration tools such as Jenkins. My expertise in AWS services—ranging from S3, EC2 to Redshift—enables me to tackle complex data engineering challenges effectively. Let’s connect to explore how my skills can drive success for your organization.