Ajith C

"I’m Ajith, a Data Associate with 6 years of experience, currently at Amazon. While my background includes managing large-scale datasets within the AWS ecosystem, I’ve pivoted my core focus toward engineering robust data architectures. I specialize in building end-to-end ETL pipelines using Python and PySpark, leveraging the AWS stack to transform raw data into scalable, production-ready assets." In my current and recent projects, I’ve focused on the end-to-end data lifecycle—specifically moving data from raw sources into Amazon S3 and RDS using AWS Lambda and automated shell scripts. I specialize in using PySpark for complex transformations and performance tuning, ensuring that large-scale data processing is both cost-effective and efficient. Beyond the code, I’ve developed a strong 'Amazon-style' ownership of data quality and system reliability. I’m now looking to transition into a full-time Data Engineering role where I can apply my 6 years of professional discipline to design and maintain the production-grade ETL pipelines and Airflow workflows that power business intelligence at scale."