Rajesh Bheeman

About Rajesh Bheeman

Lead Data Platform Engineer passionate about building scalable data platforms and growing high-performing teams.I specialize in modernizing data infrastructure at scale—migrating legacy systems to cloud-native architectures, building self-service analytics platforms, and establishing frameworks that turn data quality and governance from afterthoughts into foundations. Recently, I’ve led migrations serving 200+ users to AWS and Snowflake, implemented AI-powered analytics with Snowflake Cortex and Claude, and built governance systems protecting 500+ datasets.What energizes me as much as the technical work is developing engineers and creating systems that help teams scale. I mentor junior engineers, establish reusable frameworks that accelerate development, and build the kind of documentation and practices that let teams move fast without breaking things.What I bring- Technical leadership across cloud migration, data platform architecture, and modern data stack - Track record building reusable frameworks and governance systems that scale- Experience mentoring engineers and establishing best practices- Ability to bridge technical execution with business outcomesI’m interested in the intersection of technical architecture and engineering leadership—building both the systems and the teams that make data organizations thrive.Always open to connecting with people tackling interesting data challenges.

Experience

1. Data Platform - Lead, Enterprise Data and Analytics

   Vista

   Jan 2024 — Present · Austin, TX, US

   Modernized data infrastructure by migrating on-prem systems to AWS and Snowflake, enabling real-time analytics for 200+ business users• Built self-service analytics platform integrating Snowflake Cortex, Claude AI, and MCP automation—reducing ad-hoc data requests and empowering non-technical stakeholders to access insights independently• Designed and implemented end-to-end Data Quality Framework using Python and Snowflake, proactively catching data issues at ingestion and reducing downstream errors• Established Data Governance foundation with OpenMetadata for discovery, lineage, and observability across 500+ datasets• Architected scalable data pipelines (batch and streaming) from hybrid sources, building data lake and warehouse infrastructure supporting analytics and ML workflows• Developed reusable Python Data Foundation Framework, standardizing best practices and accelerating new pipeline development across the team• Mentor junior engineers through code reviews and technical documentation, fostering adoption of modern data engineering practices

Education

• The University of Texas at Dallas

  Master of Science, Computer Science

  2009 — 2011

• Anna University Chennai

  Bachelor of Technology, Information Technology

  2004 — 2008

Skills

• Javascript
• Databases
• Crystal Reports
• Crystal Reports Xi
• Oracle 10g
• Oracle Sql
• Mysql
• Sql
• Pl/Sql
• Database Development
• Database Design
• Web Development
• Sql Server Management Studio
• Microsoft Sql Server
• Oracle Reports
• Oracle