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Lead Data Engineer @ Capital One
Lead Data Engineer at Capital One specializing in enterprise data platforms, governance frameworks, and cross-team technical leadership. Currently serving as Tech Lead for an enterprise data governance and quality monitoring platform and leading innersourcing initiatives with case management platform team. Core Expertise: - Enterprise Data Architecture: Multi-stage serverless pipelines, event-driven systems, AWS Lambda at scale - Data Governance & Quality: Automated monitoring frameworks, compliance controls, case management integration - Technical Leadership: Strategy, planning, and design for innersourced deliverables and platform capabilities - Big Data Technologies: Snowflake, Databricks, Spark, Python, Scala - processing terabyte-scale datasets - ML/NLP Systems: Document intelligence, feature extraction, model deployment infrastructure - Cross-Functional Collaboration: Translating business requirements into scalable technical solutions From building NLP systems for financial document processing to architecting big data pipelines at JPMorgan Chase, and now leading enterprise data governance platforms at Capital One, I've consistently delivered high-impact solutions that balance technical excellence with business value. My approach combines strategic architecture with hands-on technical depth, particularly in areas requiring cross-team coordination and innersourcing partnerships. Passionate about building reusable frameworks, mentoring engineering teams, and solving complex data challenges at enterprise scale.
Rowan University
B.S., Electrical and Computer Engineering
January 1, 2014 – January 1, 2018
Capital One
Lead Data Engineer
July 1, 2024 – Present
Philadelphia, PA · Hybrid
Capital One
Senior Data Engineer
September 1, 2021 – July 1, 2024
Philadelphia, PA · Hybrid
Mudrantar
Machine Learning Engineer
May 1, 2020 – November 1, 2023
Remote
JPMorgan Chase & Co.
Big Data Software Engineer
January 1, 2020 – September 1, 2021
JPMorgan Chase & Co.
Software Engineer
February 1, 2019 – January 1, 2020
L'Oréal
Research and Innovation | Machine Learning Co-Op
December 1, 2017 – September 1, 2018
Clark, New Jersey
L'Oréal
Research and Innovation Intern
May 1, 2017 – September 1, 2017
Clark, New Jersey
AWS Certified Developer – Associate
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning large financial institutions (Capital One, JPMorgan Chase) and a startup (Mudrantar), indicating adaptability to different organizational cultures. The experience in leading technical initiatives and influencing standardization aligns with a proactive and collaborative cultural fit. The target role of ML Engineer aligns well with their previous ML experience at Mudrantar and L'Oréal, suggesting a strong interest and foundational knowledge in the domain, despite recent roles being more data engineering focused.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and mentorship capabilities, particularly in leading technical strategy, driving cross-divisional standardization, and mentoring engineers on best practices. Experience in coordinating production releases and managing teams suggests good operational fit and collaboration skills. The part-time ML Engineer role demonstrates initiative and passion for the field outside of primary responsibilities.