Developed various projects leveraging advanced AI-assisted engineering workflows (GitHub Copilot & Claude) to accelerate the product development lifecycle. Designed and deployed complex, end-to-end architectures, including an IPL fantasy platform on Hetzner featuring manual-trigger ETL pipelines, a secure full-stack e-commerce solution, an Android test automation framework, and a Vercel-hosted professional portfolio. Currently engineering a custom VS Code extension to track, analyze, and optimize LLM token consumption and development costs

Developed a data model for a German retail company. Built an ingestion pipeline based on Medallion architecture using AWS S3 and SageMaker AI. Explored data extraction from coloured graphs using linear expressions and pioneered an AI-first system delivery process.

Integrated and implemented Databricks LakeFlow Connect to build data pipelines using PostgreSQL per Medallion architecture. Evolved an in-house ingestion framework to support legacy data pipelines feeding the new data design.

Designed reusable ETL frameworks in Python and DBT for Banking & Finance clients. Migrated legacy on-premises applications to GCP (Dataflow, BigQuery). Achieved a 40% reduction in Spark job execution time through targeted tuning. Led cross-functional teams across requirements gathering, data warehouse design, and BDD/TDD testing strategies.

Automated manual production tasks, implemented seamless deployments, resolved complex escalated incidents, and created custom SQL/Tableau reports providing actionable insights.

Managed vendor relationships, championed change-control best practices, performed root cause analysis on production incidents, and utilised Splunk for log analysis, monitoring, and capacity planning.

Built dynamic web applications using HTML, CSS, JavaScript, and jQuery; collaborated cross-functionally to deliver projects on time.