About

Sanjeev Singh is a highly skilled and experienced Data Engineer & Architect with over 9 years of experience in Data Architecture & Solution Design. He is an AI, Data & Cloud Computing technology-driven professional who helps his employer with the intelligence of Data Science & Analysis with implementations through the latest technology stack so that they remain the winner in industries. Sanjeev is an expert in setting up Data Science, Engineering & Analytics team from 0 to 1. He is a Certified Google Cloud Master by Google Cloud Platform GCP. He has expertise in Big Data Skills such as Apache Spark, Hadoop, Kafka, Flume, Spark SQL, Map-Reduce, Hive, HDFS, and Cloud Services such as Amazon AWS Cloud, Google GCP Cloud, Microsoft Azure Cloud. Sanjeev has worked with various programming languages such as Python, Scala, GoLang, Core Java, and databases such as MySQL, MongoDB, Cassandra, HBase, Aerospike. He is also proficient in file formats such as Parquet, Avro, ORC, Sequential, Text-file, .csv, .json, and BI Tools such as Superset, Metabase, Tableau, Sisense. Currently, Sanjeev is working as a Data Science & Engineering - Advisory & Mentor at scaler academy, where he provides guidance, direction, motivation, and helps Data Enthusiastic folks to build their career in Data Science, Engineering, and Analytics domain. He has previously worked with BharatPe, where he was responsible for building BharatPe Data Engineering Platform & Architecture from Zero to One. He has also worked with Tokopedia, where he was a Principal Data Engineer and designed & architected Customer Data Platform (CDP) & Customer 360-degree view. Sanjeev holds a Master of Computer Applications (M.C.A.) degree from Harcourt Butler Technical University and a Bachelor of Computer Applications (B.C.A.) degree from Punjab Technical University. He possesses relevant experience of 8.70 years and has expertise in Data Engineering, Data Scientist, Senior Software Engineer, AWS, Spark, SQL, GCP, Azure, Big Data, HDFS, AI, MySQL, Hadoop, Kafka, Data Warehouse, MongoDB, Amazon Athena, Cassandra, Apache Hive, Python, ML, Jupyter, NLP, Scala, Software Engineer, Search, Sentiment Analysis, Recommendation system, Java, Kubernetes, Docker, ETL, Mobile, Web, infra, Golang.