NILOTPAL CHOWDHURY
@nilotpalchowdhury
Senior Consultant at PwC India
Kolkata
Senior Consultant with over 7 years of experience, skilled in driving high quality throughout all phases of software development projects. Possesses diverse experience in data engineering, big data development, data science, and web development. Seeking opportunities in data engineering, cloud, big data, and data science domains.
Experience
Senior Consultant
PwC India
Building data pipelines using Azure Data Factory, Azure Data Flow, Spark. Worked on internal product development using PySpark, Data Bricks. Understanding business requirement and worked as module lead for various projects. Developing and designing data migration projects from Legacy to Cloud. Migration from existing legacy data warehouse system to big data warehouse. Building data pipelines to implement Chance data capture. Technologies Used: Python, Azure Data Factory, Azure Data Flow, Azure Synapse, Data bricks, Spark, Azure.
Senior Software Engineer
Impetus Infotech (India) Pvt Ltd
Ilabs, Impetus Data warehouse. Currently working as a developer for modern data warehousing product. Migration of existing data warehouse to big data warehouse. Technologies Used: Java, Spark, Big Data, SQL, Hadoop.
Senior Systems Engineer
Infosys Limited
Client: American direct broadcast satellite service provider. Involved in design and development of big data application. Big Data analysis using Spark R on AWS. Data validation and testing by running queries on Hive, SQL. HIVE optimization for reporting. Developing Big Data application in Spark and Java. Technologies Used: Java, Spark, HIVE, R, Big Data, SQL, Hadoop, Machine Learning, Statistical Analysis and Exploratory Data Analysis.
Senior Systems Engineer
Infosys Limited
Client: American direct broadcast satellite service provider. Implementing business logic in java, worked on Big Data streaming platform like Spark, Data Torrent. Migrating existing business functionality from legacy systems to Big Data (Spark). Performing statistics & exploratory Data Analysis, on data using R. Performing predictive analytics on business rules. Tuning of machine learning algorithms. Designed parser for parsing business rules using Java, ANTLR. Performance monitoring and tuning of the big data application. Creating POC using map reduce programming. Designing hive databases based on the business requirements. Ensuring scalability of the big data application. Technologies Used: Java, Spark, HIVE, R, Big Data, SQL, SQOOP, Data Torrent, map reduce programming, Machine Learning, Statistical Analysis and Exploratory Data Analysis.
Junior Software Engineer
Nature Technologies
Client: Live chat application provider. Minor enhancements in mobile application using objective C, unit testing, implementing test driven methodology.
Education
Swami Vivekananda Institute of Science and Technology | WBUT
B. TECH
Electronics and Communication Engineering
10+2| ISC
10th | ICSE