At Impetus Technologies, I supported a 112 TB Azure-to-AWS data migration using Databricks and an internal deep-clone framework. I investigated cloning and validation failures, schema and primary-key issues, and data discrepancies using hash-based and aggregate comparisons.
I also migrated AutoSys JIL workloads to Apache Airflow DAGs using LeapLogic and developed a Python-based JIL-to-DAG automation tool that reduced manual migration effort by approximately 70%.
On GCP, I worked on ETL pipelines using Pub/Sub, Dataflow, Google Cloud Storage, and BigQuery, including data validation and dead-letter handling. I also supported GCP-to-on-premise data migration workflows.
I built an internal RAG knowledge assistant with LangGraph, AWS Bedrock, and ChromaDB to retrieve answers from Teams conversations, internal documentation, and FAQs. Earlier, at Rashi Technologies, I developed Java and Spring Boot REST APIs and full-stack features for a risk management system and an e-commerce platform.
