About

Unmon Mukherjee is a seasoned Database Architect and Data Engineer with over 11 years of experience in building databases for products and designing data pipelines using various data engineering platforms. He is currently working as a Staff Software Engineer at 1e. Unmon has extensive knowledge of database design and optimization, requirement gathering, and designing data pipelines on both Azure and on-prem environments. He has hands-on experience in Azure Database and Integration services, Spark, Scala, and Python. Unmon is a leading product developer for database architecting and designing data pipelines. He is also leading the product re-engineering of Stored Procedures into Spark using Scala. Unmon owns the product for unit test, re-design optimization, and Saasification. He has excellent knowledge of query optimization, data integration, data warehousing, and modelling. Unmon has worked as a Database & ETL Architect at Mercedes Benz and as a Lead Consultant at ITC. He has experience in database and ETL migration, including Heterogeneous, On-prem to Cloud, and Saasification. Unmon has expertise in Relational & NoSQL Databases such as SQL Server, Azure SQL Database, Azure SQL Managed Instance, PostgreSQL, DB2, and Cassandra. He is also proficient in ETL Technologies such as SSIS, Spark, Scala, PySpark, Azure Data Factory, and Databricks. Unmon has completed his Master of Computer Applications (MCA) in Computer Science from Techno India University. He has a Tech Stack that includes SQL, Azure, Senior Software Engineer, Spark, ETL, Databricks, Software Engineer, Scala, Data Engineering, RabbitMQ, Cassandra, Python, Integration, test, NoSQL, Data Warehouse, CI/CD, Big Data, MSSQL, DevOps, and Web. In summary, Unmon Mukherjee is a highly skilled and experienced Database Architect and Data Engineer with expertise in building databases for products and designing data pipelines using various data engineering platforms. He has a strong technical background and is proficient in various technologies, including SQL, Azure, Spark, ETL, Databricks, and Python.