

Backend and Data Engineer with hands-on experience building data-intensive and banking applications. Skilled in SQL, PL/SQL, Python, ETL, and API integration, with experience designing data pipelines, optimizing database performance, and implementing SWIFT-compliant workflows in Oracle FLEXCUBE. Proven ability to deliver reliable, scalable solutions supporting enterprise financial systems.
Served as a Subject Matter Expert in Computer Science, offering technical guidance and delivering solutions to complex problems.
“SEO & Enhancement of Websites for Market” – Published in iManager Publications (April 2023) and presented at IC-ICN 2023, Thakur College of Engineering & Technology, Mumbai.
Automated Payment Reporting System: Automated reporting framework in Oracle FLEXCUBE using PL/SQL and DBMS Scheduler to generate payment reports for UBS systems, enabling parallel job execution and reducing month-end processing time by 30%. Developed procedures and explicit cursors to extract and validate large volumes of financial data from multiple modules.
Retail Banking Data Engineering Pipeline on Azure Databricks: Developed an end-to-end data pipeline using Azure Databricks and PySpark. Implemented batch ingestion, transformations, and data modeling using Delta Lake, Delta Live Tables, and SCD.
SWIFT Transaction Reporting Pipeline using Oracle BI Publisher: Built a reporting pipeline to extract, model, and publish SWIFT banking data using Oracle BI Publisher, delivering analytics ready outputs in PDF and Excel formats.
ETL & Dimensional Modeling Pipeline using Apache Airflow: Designed an ETL workflow using Apache Airflow and Python to orchestrate batch pipelines, and modeled fact and dimension tables for reporting use cases
MEVN Web Application: Developed a full-stack web app using MongoDB, Express, Vanilla JS, and Node.js with REST APIs for backend communication. Deployed on Heroku and GitHub Pages, ensuring responsive performance and cloud availability.