Hi, I'm Yajith Vishwa, 

Designed and migrated 30+ scalable ETL/ELT pipelines using Python, SQL, PySpark, and Databricks, integrating data from OLTP systems into OLAP platforms such as Snowflake, Delta Lake, and Google BigQuery for enterprise analytics. Contributed to data modernization initiatives by implementing the Medallion Architecture (Bronze, Silver, Gold), improving data quality, governance, and reliability while delivering business-ready datasets for reporting and analytics in the US Mortgage Originations business. Implemented data quality checks, monitoring logic, and performance optimizations using Splunk and ETL audit frameworks to ensure reliable, high-volume data processing across distributed systems. Designed and developed Snowpark-based Snowflake stored procedures for scalable data transformation, validation, and curation, enabling analytics-ready data models for the MSP business. Built a custom Python REST API framework on Databricks using PySpark and Kafka to ingest Dynamics CRM data via the Fetch API, replacing ADF and SSIS pipelines and achieving approximately $2,000 per month in cost savings. Automated the CI/CD deployment of 500+ Databricks ETL jobs using Databricks REST APIs and Azure DevOps, eliminating manual deployment efforts, improving release reliability, and accelerating delivery. Supported cloud migration and platform consolidation by migrating 250+ ETL jobs from ADF, SSIS, and IBM DataStage to GCP Databricks, enhancing scalability and reducing infrastructure costs through the use of job clusters. Collaborated with cross-functional teams, including business, analytics, and data architecture, to translate reporting requirements into scalable enterprise data solutions, delivering more than $100K in measurable business value.

Developed an app from scratch using Android Studio and acquired expertise in Python's Flask framework to build a server for API calls. Gained valuable experience in startup dynamics and collaborated on creating a REST API for web and mobile applications, ensuring seamless communication with MongoDB and implementing robust error handling and logging across endpoints. Successfully delivered a comprehensive web (Staff Admin Portal) and mobile (Students Exam App) application designed specifically for visually impaired students, featuring innovative Text-to-Speech and Speech-to-Text functionalities to enhance exam attendance.