Headline

Data Engineer @66degrees | AI/ML | 3x GCP | Ex-Target | CSE’23 @ DSCE .

About

Computer Science graduate from Dayananda Sagar College, with advanced training in Data Analytics from Great Learning. I bring a strong foundation in engineering and analytics, with experience contributing to large-scale product initiatives that enhance performance, reliability, and user experience. At Target, I’ve been part of the frontend engineering team for Target.com, contributing to improvements in platform responsiveness, accessibility, and overall operational efficiency. My work involves cross-functional collaboration, performance-driven development, and crafting technical documentation to streamline onboarding and enhance internal engineering workflows. Previously at Poochiee, I led data-driven strategies that reduced client churn by 40% and improved revenue forecasting accuracy demonstrating my ability to align technical solutions with business goals. In the early stages of my career, I prioritize problem-solving over tool-specific expertise. I’m driven by curiosity, adaptability, and a desire to contribute to forward-thinking teams that value thoughtful, scalable engineering. Specialties: • Frontend development & performance optimization • Data analytics, forecasting & business insights • Scalable web architectures & engineering workflows • Operational efficiency & internal documentation • Cross-functional collaboration & problem-solving

Location

Bengaluru

AI stack

antigravity

claude

codex

cursor

Work experience

Associate Data Engineer at 66degrees, May 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Working on client-facing data engineering and data science projects, owning production-grade pipelines and supporting AI/ML systems. AI/ML Data Pipelines (DocAI Platform) • Own and manage an AI-focused data pipeline workstream supporting Document AI Purchase Order processing in production. • Build and maintain ETL/ELT pipelines using Python and SQL for structured and semi-structured data. • Perform production maintenance, root-cause analysis, and troubleshooting for pipeline failures and data quality issues. • Handle triaging of relabeling issues and pipeline errors, ensuring reliable data flow for downstream ML models. • Implement monitoring and testing to improve pipeline stability and reliability. • Act as primary point of contact for the workstream, independently managing deliverables and coordinating with stakeholders.

Software Engineer-Product Engineering at Target, Sep 2024 - Mar 2025 · 7 mos, Bengaluru, Karnataka, India, As a Software Engineer in the Product Engineering team at at Target, I collaborated with cross-functional teams to design and deliver scalable software solutions for digital product initiatives. My contributions spanned frontend development, performance optimization, and operational efficiency. Key Contributions: • Frontend Development & UI Enhancements: Implemented user interface improvements, enhancing platform responsiveness and accessibility. • Version Control & CI/CD: Utilized Git for version control and integrated CI/CD pipelines using Jenkins and Artifactory, streamlining deployment processes. • Agile Collaboration: Worked closely with developers, product managers, and Data Analyst to gather requirements and create comprehensive user guides and process documentation. • Knowledge Sharing & Documentation: Designed and published knowledge-sharing materials to streamline onboarding and improve team efficiency. • Task Management: Leveraged Jira for task tracking and documentation management, ensuring all deliverables were aligned with project timelines and goals. • Repository Maintenance: Maintained and updated project repositories, ensuring documentation reflected the latest development changes.

Software Engineer at Target, Sep 2024 - Mar 2025 · 7 mos, Hybrid, As a Software Engineer at Target, a leading Fortune 500 retail corporation based in the United States, I collaborated closely with engineering teams to develop and implement scalable digital product solutions. ■ Utilized Git alongside CI/CD pipelines such as Jenkins and Artifactory to ensure efficient version control and automated deployments. ■ Documented technical specifications and user guides to facilitate knowledge transfer and support training efforts.

Education

Bachelor of Engineering - BE, Computer Science, Dayananda Sagar College of Engineering, BANGALORE

Data Science & Analytics, Great learning