Mohit Mohit

I’m a Data Engineer with 3+ years of experience building ETL/ELT pipelines and data platforms in the insurance domain. I enjoy turning complex data requirements into dependable workflows that downstream teams can use immediately.

In my current role at Chubb, I built ETL/ELT workflows using IICS and Databricks to migrate and load data into Snowflake and Azure Cosmos DB. I work directly with business stakeholders to define data requirements, so the delivered data matches real operational needs.

I’ve developed frameworks for datasets ranging from millions to billions of records using incremental loading, full-copy chunking, and dynamic filtering to optimize throughput. I also designed Data Marts and multi-tier tables, transforming relational data into JSON documents for NoSQL consumption.

As the sole developer, I built end-to-end pipelines converting Snowflake relational data into JSON documents via Databricks, and I use Snowflake features like Time Travel, Views, and Python Stored Procedures to automate processing and maintain historical integrity. I back my engineering with certifications across AWS, Azure, Databricks, and Snowflake, and I’m consistently focused on reliability, performance, and data quality.