Hello! I'm Manali Verma, a Senior Data Engineer with 7+ years of experience in designing, developing, and maintaining highly scalable, secure, and reliable data structures. At Amazon, I led a team of 7+ engineers in scaling real-time customer traffic ingestion from 500 million to 14 billion requests per day (300 TB), directly contributing to better recommendations and reduced return rates. I also designed and developed a product for deep customer behavior analysis using AWS EMR (PySpark), processing petabytes of data daily, which saved considerable bandwidth and generated significant revenue. My background includes spearheading the migration of legacy systems to Scala and Hadoop-based ETL infrastructure at Oracle, reducing processing time by 40%. I'm proficient in a wide array of data engineering technologies, including Python, PySpark, SQL, Scala, and NoSQL. I have deep expertise in AWS services like S3, EMR, Lambda, Redshift, Glue, Kinesis, and Lake Formation. My skills extend to data warehousing, data modeling, ETL development, real-time and batch processing, and ensuring data quality. I'm passionate about helping others navigate the complexities of data engineering. Whether you're looking to ace your next interview, design scalable data platforms, improve your coding skills, or strategize your career path, I offer practical, real-world insights to help you succeed.