About

Naveen N is a highly skilled and experienced data engineer with expertise in Big Data, Spark, and Data Science. With a career spanning over 5 years, Naveen has worked in diverse industries such as Retail, Finance, and Healthcare, and has been associated with reputed companies like Amazon, Goldman Sachs, and TataCliQ. Naveen has a strong command over Big Data ecosystems such as Apache Ambari, Hadoop, HDFS, Yarn, Hive, HBase, Cassandra, Oozie, Sqoop, Spark SQL, Kafka, and Spark streaming for Big Data processing and Big Data Analytics. He is also proficient in working with database engines such as PostgreSQL, SQL Server, MySQL, and Redshift, and has experience in data analysis using Python and R. Naveen has a deep understanding of Machine Learning and has the ability to build Supervised and UnSupervised ML models for predictive outcomes using Regression, Classification, and Clustering techniques. He also has experience in Sentiment Analysis using NLP. In addition to this, he has expertise in building interactive dashboards using Tableau. Naveen has experience in building data pipelines from Salesforce CRM to SQL and NoSQL databases, and has expertise in building Data pipelines from various sources for Data warehousing and analytics purposes using ETL (Python, SSIS, CloverDX). He has worked with NoSQL databases such as MongoDB and DynamoDB and has a good understanding of AWS concepts such as EC2, S3, RDS, EMR, Lambda, Glue, and Athena. Naveen has excellent written and verbal communication skills and is enthusiastic and passionate about learning and exploring new technologies. He is interested in Data Analytics, ML, and AI. Naveen is currently working as a Data Engineering Lead at inviz ai and has previously worked as a Data Engineer at Goldman Sachs and as a Manager of Data Science and Analytics at TataCliQ. Naveen holds a Bachelor of Technology degree in Computer Science Engineering from the National Institute of Technology Silchar. He has a diverse tech stack that includes Data Engineering, Spark, SQL, Data Scientist, AWS, ML, Python, NoSQL, Sentiment Analysis, Amazon Athena, HDFS, AI, MongoDB, NLP, MySQL, Hadoop, Cassandra, Kafka, Salesforce, ETL, Apache Hive, Search, Scikit, Pandas, and Jenkins.