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Nayanika Mula

@nayanikamula

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Senior Data Architect specializing in data product lifecycle management.

India

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my skills in data architecture and analytics to drive impactful business decisions.

I am a Senior Data Architect with extensive experience in managing data product lifecycles within complex data mesh architectures. My journey began with a Bachelor of Technology in Computer Science & Engineering from NIIT University, followed by a Master of Science in Business Analytics from the University of Texas at Arlington. I have a proven track record of enabling AI readiness and optimizing data infrastructures to support intelligent systems.

At Capital One, I spearheaded the migration of over 25 financial data pipelines, significantly reducing processing times and enhancing reporting efficiency. My role involved designing scalable ETL patterns that not only cut costs but also improved data accessibility for analytics teams. I take pride in my ability to ensure data quality and compliance, achieving a 99.8% accuracy rate and a 100% audit approval rate in my projects.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Architect Card Core

Current

Capital One via Innova Solutions

Aug 2024 - Present (11 months)

Owned data product lifecycle across Card Core domains within a data mesh architecture, defining reusable entities and ensuring consistent use across APIs, schemas, and downstream systems. Enabled AI and LLM-readiness by establishing clean, reusable, and context-rich data products, accelerating enterprise adoption of intelligent systems and next-gen data infrastructure. Spearheaded migration of 25+

Data Architecture AI LLM Readiness Data Pipelines ETL Financial Data Data Infrastructure

Data Engineer

Capital One

Sep 2019 - Present (5 years 10 months)

Built ETL pipelines for over 500GB of raw data daily, ensuring data quality with a 99.8% accuracy rate and optimizing data transformation processes to reduce preparation time by 25%. Designed robust data models and storage solutions, enhancing platform resilience by 20% and minimizing points of failure in data pipelines. Implemented performance monitoring protocols to ensure 99.9% uptime, reducing

ETL Data Quality Data Modeling Data Storage Performance Monitoring Data Governance Data Pipelines SQL Python

Education

Degrees, certifications, and relevant coursework

University of Texas at Arlington

Master of Science, Business Analytics

Completed a Master of Science in Business Analytics, focusing on advanced data analysis and business intelligence techniques. Gained expertise in leveraging data for strategic decision-making and problem-solving.

NIIT University

Bachelor of Technology, Computer Science & Engineering

Earned a Bachelor of Technology in Computer Science & Engineering. Developed a strong foundation in computer science principles, including programming, algorithms, and software development.