About

Upendra Singh Karmiyal is a Data and ML Engineer with over 3 years of experience in developing and maintaining complex data pipelines. He has expertise in reporting and dashboarding, real-time funnel analytics, ML features pipelines, and data sharing. Upendra has contributed to reducing data processing time by 70% and improving query performance by 50%. He is proficient in Python, SQL, Pyspark, Apache Airflow, and a variety of cloud technologies such as AWS and GCP. Upendra has ingested data from a variety of sources, including relational databases(MySQL, MemSQL), APIs, and log files, and implemented ETL processes that avoid duplicate records and ensure data accuracy and completeness. He has implemented cost-saving strategies resulting in a reduction in overall cloud costs. Upendra is a collaborative team player who works closely with stakeholders to understand business requirements and design data solutions that meet their needs. He has mentored junior data engineers, conducted code reviews, and developed standard operating procedures to ensure efficient resolution of any data pipeline issues. Currently working as a Data Engineer and ML Engineer-II at Yugen.ai, Upendra has developed and maintained data pipelines related to reporting, data sharing, ML models features, and real-time funnel analysis, processing over 25GB of data per day. He has worked on feature engineering and feature stores for serving Machine learning models. He has collaborated with cross-functional teams to understand business requirements and design data solutions that met stakeholder needs. Upendra has a Bachelor of Technology degree in Electronic and Communication Engineering from Noida Institute of Engineering & Technology (NIET). He has also worked as a Machine Learning Engineer at Boticx Labs, where he successfully developed and implemented ETL and ML model serving pipelines using Python, Flask API, and AWS Microservices. He has experience in working with containerization tools such as Docker to ensure seamless and efficient deployment of applications.