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Data and Backend Engineer | Building Scalable, Secure Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Backend and Data Engineer with a strong track record in building resilient data pipelines, distributed backend systems, and infrastructure on AWS. Skilled in Python, Airflow, Spark, Postgres, and infrastructure as code, with a focus on secure APIs, workflow automation, and scalable cloud-native architectures. I simplify complex systems, whether it's modernizing data platforms, replacing legacy services, or enabling analytics in fast-paced, product-driven environments. Authorized to work in the U.S. without sponsorship.
UC Santa Barbara
Masters, Computer Engineering
January 1, 2009 – January 1, 2010
Chaitanya Bharathi Institute of Technology
BE, ECE
January 1, 2002 – January 1, 2006
GameChanger
Senior Data Engineer
June 1, 2025 – June 1, 2025
Remote
Juniper Square
Senior Backend/Data Engineer
October 1, 2020 – October 1, 2023
San Francisco Bay Area · Remote
Collective Health
Senior Software Engineer - Data
February 1, 2019 – September 1, 2020
San Francisco Bay Area · On-site
Collective Health
Senior Backend Engineer
November 1, 2015 – February 1, 2019
San Francisco Bay Area · On-site
Oracle
Senior Member of Technical Staff
January 1, 2011 – October 1, 2015
San Francisco Bay Area
Software Engineering Intern
June 1, 2010 – September 1, 2010
UCSB
Computer Engineering Masters Student
September 1, 2009 – December 1, 2010
Cognizant Technology Solutions
Programmer Analyst
January 1, 2006 – January 1, 2008
Cultural Fit Analysis
The candidate has worked across various companies (Juniper Square, Collective Health, Oracle, Google intern) and industries (healthcare tech, real estate tech, enterprise software), demonstrating adaptability. Their roles have consistently involved senior-level contributions in backend and data engineering, indicating a preference for impactful technical work. The breadth of skills and project diversity suggest a good cultural fit for a dynamic engineering environment.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in initiatives, problem-solving (e.g., replacing legacy systems, optimizing performance), and contributions to frameworks, suggesting strong operational fit and soft skills related to project ownership and technical leadership. The career break taken for personal growth indicates self-awareness and proactive career management.