About

Mayank Sarraf is an experienced Big Data Developer with expertise in ML OPS, Data Engineering, Machine Learning, BigData, Spark, Python, Airflow, and Scala. He has a Bachelor’s Degree in Electronics and Communications Engineering from SJB institute of technology. Currently, he is working as a Staff Data Engineer at Visa, where he is responsible for product development. Mayank has worked in the marketing and advertising industry and has a strong background in Microsoft Word, Apache Airflow, Big Data Analytics, and Management. He has a demonstrated history of working in the industry for over 7.61 years. Mayank has previously worked as a Senior Software Engineer at Gartner and a Senior Engineer in Big Data at Dunnhumby. At Dunnhumby, he was responsible for end-to-end platform development used to develop and score machine learning models. He ensured timely delivery of weekly customer level segmentation's as well as new segmentation design related to customers or basket level. He identified areas of improvement such as automation, new science to deliver the best value to the client. He has worked on several projects, including Tesco Churn Model Engine Design, Five Families Model Production, Express Mission Production, Feature Generator, and Python/PySpark Training to 50+ colleagues across different regions. Mayank has a strong technical background and is skilled in Data Engineering, ML, Spark, Apache Airflow, Python, Software Engineering, Big Data, Scala, HDFS, AWS, Apache Hive, Jupyter, NoSQL, MongoDB, Hadoop, Kafka, SQL, Docker, CI/CD, Pandas, Integration, Backend, Terraform, NLP, qa, Data Scientist, Jenkins, Postgres, and infra.