About

Naba Kumar Bhoi is a Lead Data Engineer with over 10 years of experience in Enterprise level Data Analytics Platforms including Data warehouse and Business Intelligence systems. He is passionate about tackling challenging architectural and scalability problems and is particularly interested in working on data-intensive applications. Naba is a quick learner and enjoys acquiring knowledge independently. Naba has expertise in Cloud technologies such as AWS EMR, E2, S3, Glue, Redshift, Athena, Lambda, BigQuery, Snowflake, Azure blob storage. He is proficient in programming languages like Python, Scala, Java, Shell Scripting, and PL/SQL. He has experience working with Big Data technologies such as Hadoop, MapReduce, Sqoop, Hive, Hbase, Apache Kafka, Apache Spark SQL/DataFrame, Structure Streaming. He has worked with databases like Oracle, MongoDB, Teradata, and SingleStoreDB. Naba has worked with tools like Informatica, Talend, Jira, Confluent, and SAP BODS. He is proficient in IDEs like Intellij, VScode, Eclipse, and Jupyter Notebook. He has experience working with version control tools like Git and Bitbucket and reporting tools like SAP BO. Currently working as a Lead Software Engineer - Big Data and Cloud at Impetus, Naba is responsible for Data Engineering (On-premise and Cloud) and Analytics. He designs data models, data flows, and data pipelining using Spark Clusters on Azure/AWS to build a solid foundation for a data-driven enterprise. The technology stack that Naba works with includes Spark SQL, Data-frame, Streaming, snowflake, Scala, PySpark, Python, Hive, Sqoop, java, Nifi, Kafka, Amazon S3, RDS, EC2, Glue, Athena, Oracle, Teradata, Airflow, and Unix shell scripting. He has domain expertise in Banking & Finance, Payment Systems. Naba has previously worked as a Senior Data Engineer and a Data Engineer at TCS. He has experience leading offshore Data Engineering teams and working closely with BA to gather requirements on projects. He has worked independently on multiple Functional Requirement Documents and delivered them on time with Quality. He has experience developing ETL pipelines using HDFS, Sqoop, Unix Scripting, Spark Engine, Scala, PySpark, and Hive. He has implemented Dimension modeling like SCD1, SCD2, SCD3. He is proficient in using the Spark Data