About

Nitish Sharma is a highly skilled Software Engineer with over 10 years of experience in the field of Data Engineering. He is currently working as a Software Engineer 2 at Microsoft, where he is responsible for developing a cloud-native Data Lake solution. Nitish has a strong expertise in building data platforms and has previously worked as a Big Data Consultant at Deloitte and a Data Engineer at Citi. Nitish has extensive experience in Cloud technologies such as Azure Data Stack, including ADLS, ADB, ADW, and ADF. He is also proficient in Data Processing technologies such as Apache Spark, Apache NiFi, Apache Storm, Kafka, ETL, Informatica, Shell Scripting, SQL, Java, and REST API. Nitish is experienced in working with Databases such as Oracle and NoSQL, including MongoDB. He is well-versed in Data Warehouse technologies such as Dimensional modeling and Master Data Management (MDM), and has strong Data Analysis and Visualization skills, including SQL and PowerBI. At Deloitte, Nitish worked as a Data developer and built a Data lake by ingesting data from Rest API exposed by various data providing firms like Talkwalker. He used technologies such as Apache NiFi, Kafka, HDFS, Hive, and Spark. At Citi, Nitish worked as a Big Data developer and Product Owner, where he built a real-time data processing framework and a platform for serving multiple data regulatory obligations. He used technologies such as Apache Storm, Kafka, MongoDB, Spring Boot, Rest API, and Oracle 11g. Nitish holds a Bachelor of Technology (B.Tech.) degree in Electronics and Communication Engineering from Uttar Pradesh Technical University. He has a strong Tech Stack, including Software Engineer, Polygon, SQL, Azure, Spark, Data Warehouse, Data Engineering, Kafka, Apache Storm, Databricks, MongoDB, Big Data, Java, NoSQL, ETL, HDFS, Apache Hive, Spring Boot, Spring, and UI. Overall, Nitish is a highly skilled Data Engineer with a strong expertise in Cloud and Data Processing technologies. He has a proven track record of building data platforms and delivering results in a timely and efficient manner.