arijit roy

• Developed a self-service GitOps data mesh platform utilizing Snowflake, dbt, Fivetran, Airflow, and Kubernetes, effectively reducing data silos and enhancing transparency.
• Achieved over $100k in annual cost savings by migrating from legacy Redshift/Starburst systems.
• Spearheaded the implementation of release automation and CI enablement tools, saving more than 1000 lead engineer hours each year.
• Successfully deployed 100+ ASCA and PIA compliant data products, incorporating robust cost and usage monitoring.
• Advocated for data governance and discovery through Atlan, empowering stakeholders with improved access to data insights.

• Designed and implemented a scalable LLM-powered Data and AI platform, enhancing personal finance management for over 50M users with robust data governance and orchestration.
• Played a key role in investor presentations, successfully securing $16k in Databricks funding and establishing $24k in future commitments, demonstrating strong business acumen.
• Engineered efficient ETL workflows to process and analyze high-volume clickstream and telemetry data (500GB daily) utilizing AWS S3, Python, MongoDB, Databricks, Mixpanel, and Metabase, ensuring data integrity and accessibility.
• Collaborated with cross-functional teams to align data architecture with business objectives, driving innovation and efficiency in data management practices.

• Designed and implemented a robust data warehousing platform for Conversational AI, enhancing user engagement for over 120M users and efficiently processing 500M events daily.
• Engineered a GenAI-driven product search and recommendation engine leveraging Azure OpenAI, Mistral, LangChain, and advanced vector databases (Chroma, Milvus).
• Spearheaded a team of 6 engineers in transitioning from legacy systems to Delta Lake architecture, managing 15+ customer-facing data pipelines, which resulted in a 75% reduction in operational latency and an 80% decrease in costs through effective load balancing.
• Actively contributed to architectural discussions and strategic planning, aligning technical solutions with business objectives to drive innovation and scalability.

• Designed and implemented an AI-driven bot for a SaaS platform, enhancing social media marketing efficiency on Instagram and Twitter through advanced data modeling and web scraping techniques using Python and AWS.
• Developed scalable applications as a MEAN Stack Developer, leveraging Typescript, Angular, and AWS services, ensuring high performance and reliability.
• Contributed to a robust Learning Management System with a focus on backend architecture, successfully managing over 50 APIs to streamline user interactions and data flow.
• Collaborated with cross-functional teams to optimize system architecture, enhancing data integrity and application performance, aligning with best practices in software engineering.
• Employed Docker for containerization, improving deployment processes and system scalability across various environments.