As a Software Developer for Adobe, I integrate structured commerce data into Adobe Experience Platform using PySpark, Scala, and Databricks DLT, enabling real-time segmentation, personalized experiences, and advanced analytics for tailored marketing and revenue growth. I also standardized commerce entities via Databricks ETL and Airflow DAGs, improving data consistency, visibility, and operational efficiency across Adobe's ecosystem. Engineered scalable PySpark pipelines with DLTs for active user dashboards, processing over 2M daily records with 30% less latency for seamless PowerBI integration and real-time insights for the Commerce team.

For Identity Platform team, I developed high-throughput batch APIs using Kotlin and Cassandra, efficiently processing 100K+ users/sec and achieving a 40% improvement in database performance. I optimized massive EMR jobs (77TB) for user deletion tracking, attaining 100% accuracy and enabling automated campaigns. Designed pre-aggregated MAU/WAU/DAU datasets using Databricks Medallion Architecture, optimizing data refresh, ensuring 100% accuracy, and halving dashboard load times. Implemented Airflow DAGs to automate pipeline orchestration and dashboard refreshes, reducing manual intervention by 80% while ensuring GDPR/PII compliance.
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During my summer internship at Adobe in 2023, I had the chance to work with the Identity team on a project that truly broadened my horizons. Together, we developed an MAU dashboard which improved data accuracy, helping reduce manual query time for my fellow engineers. My role revolved around creating a self-serve UI and crafting a data pipeline in AWS, streamlining information from sources like S3 and EBS. While diving into this, I picked up on some exciting tools, including Amazon Airflow and PySpark. We also ensured the dashboard linked seamlessly with Power BI, while always keeping PII and GDPR regulations at the forefront. Working alongside an inspiring team at Adobe, I learned so much and was glad to contribute to a project with tangible impacts.

My most recent job experience was at Myntra in Bengaluru, India. Myntra is a leading fashion e-commerce company in India. During my 2 years at Myntra, I completed many projects involving various programming languages such as Java, Python, Golang and had experience with a variety of organizational software like Github, Shuttle, JIRA, Confluence and Dockins. The highlights of my journey at Myntra were: a novel algorithmic and programmatic solution for reducing error margin of an RFID-operated logistics hardware by 90%; and development, debugging and maintenance of various JAVA RESTful APIs - as part of both releases and audits.

During the summer break of my pre-final year, I interned at Samsung Research Institute in Delhi, India. In Samsung, my job was to improve the SQL query resolution times. I achieved it by creating a Distributed Database system from scratch, which spanned multiple hosts in the network. I was able to reduce the time to resolve the queries in the new MySQL Clusters by half.

For the final semester of my undergraduate studies, I interned at SAP Labs in Bengaluru, India. There I was tasked with the development and deployment of numerous JAVA APIs as part of their quarterly release. Alongside this, I also assisted my team in the migration from the monolith architecture they had to a microservices-based one.