AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineering & Governance Leader | Streaming & Batch Data Platforms | AI‑Enabled Data Quality & Governance
Staff-level Data Engineer with 12+ years building petabyte-scale data infrastructure, streaming platforms, and ML enablement ecosystems across FinTech, healthcare, and CPG. At Credit Karma, I own enterprise-grade data platforms on Google Cloud serving 135M+ members - from real-time ingestion pipelines to self-service SDKs adopted across the organization. My work sits at the intersection of data engineering and AI enablement. I have built production Python SDKs, Terraform-driven infrastructure automation, LLM-powered metadata and discovery platforms, and computer vision pipelines - always with reliability, security, and cost efficiency in mind. I operate at the intersection of deep technical ownership and business outcomes. Whether reducing ML training time from 3.5 hours to 30 minutes, cutting BigQuery scan costs by 95%, or architecting a clean room for privacy-preserving data collaboration - I focus on building systems that actually get used and matter at scale. What I bring: - Distributed systems: Spark, Kafka, Flink, Airflow, Pub/Sub - Cloud & IaC: GCP (BigQuery, Vertex AI, Composer), AWS, Terraform - Data governance & quality: Monte Carlo, Dataplex, PII-safe architectures - ML & AI: PyTorch, XGBoost, computer vision, LLM-assisted workflows - Languages: Python, SQL, Scala, Java M.Tech from IIT Kharagpur. Based in Charlotte, NC. Always open to conversations on data platform architecture, ML infrastructure, and building engineering cultures that ship high-quality data products.
Indian Institute of Technology, Kharagpur
Master's Degree, Information Technology
January 1, 2012 – January 1, 2014
Institute of Engineering and Technology
Bachelor of Technology, Information Technology
July 1, 2006 – June 1, 2010
Credit Karma
Senior Data Engineer / Tech Lead
August 1, 2022 – Present
Charlotte, North Carolina, United States · Hybrid
Fractal Analytics
Lead Architect
October 1, 2018 – August 1, 2022
Fractal Analytics
Senior Data and AI Engineer
May 1, 2016 – September 1, 2018
Persistent Systems
Senior Software Engineer - Data
July 1, 2014 – May 1, 2016
Pune City, Maharashtra, India · On-site
M101P: MongoDB for Developers
MongoDB
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Nanodegree, Deeplearning
Udacity
June 24, 2026 – Present
Deep Learning with Pytorch
Udemy
June 24, 2026 – Present
Microsoft: DAT203x Data Science and Machine Learning Essentials
edX
June 24, 2026 – Present
Strategy Execution
Harvard Business School Online
June 24, 2026 – Present
Developing Big Data Solutions with Azure Machine Learning
Microsoft
June 24, 2026 – Present
Google Cloud Platform Big Data and Machine Learning Fundamentals
Coursera
June 24, 2026 – Present
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Udemy
June 24, 2026 – Present
Python for Data Science and Machine Learning Bootcamp
Udemy
June 24, 2026 – Present
CS110x - Big Data Analysis with Apache Spark
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working with enterprise clients and leading initiatives at Credit Karma and Fractal Analytics. Their experience spans various domains (finance, insurance, retail) and technologies, indicating adaptability. The focus on AI-assisted automation and LLM-powered discovery platforms aligns with a forward-thinking, innovative culture. However, the target role is 'Computer Vision', and while there is direct experience in this area from 2016-2018, recent roles have shifted more towards general data engineering, MLOps, and LLMs. This might indicate a potential gap in recent, dedicated Computer Vision focus, which could impact cultural fit for a purely CV-centric team.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and Lead Architect indicates strong leadership, project management, and cross-functional collaboration skills. Their focus on building org-wide SDKs, self-service platforms, and standardizing infrastructure suggests a proactive approach to improving operational efficiency and fostering team capabilities. The descriptions imply a problem-solving mindset and an ability to drive significant impact (e.g., 95% reduction in BigQuery scan costs, 90% cut in infra lead time).