
Data Engineer with 3+ years in AWS, Azure, GCP, and Big Data technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Engineer with 3+ years of experience designing scalable data pipelines, cloud-native ETL/ELT workflows, and end-to-end data platforms across AWS, Azure, and GCP. Passionate about building production-grade systems that power analytics, BI, and machine learning in healthcare, finance, and enterprise domains. Seeking roles as Data Engineer, ML Engineer, MLOps Engineer, or Cloud Data Engineer.
Clark University
Master of Science in Data Analytics · Data Analytics
August 1, 2023 – December 1, 2024
University of Lucknow
Bachelor of Science in Statistics · Statistics
May 1, 2018 – September 1, 2021
UnitedHealth Group
Data Analyst | Data Engineering
February 1, 2025 – March 1, 2026
United States
ENGAGEathon
Data Engineer Intern
May 1, 2024 – August 1, 2024
United States
Hexaware Technologies
Data Engineer
December 1, 2021 – May 1, 2023
India
Oracle Cloud Infrastructure 2024 Generative AI Certified Professional
Oracle
June 1, 2026 – Present
Data Analysis with Python
IBM / Coursera
June 1, 2026 – Present
Data Analytics and Visualization Job Simulation
Unknown
June 1, 2026 – Present
Tableau Essential Training
NASBA
June 1, 2026 – Present
Prompt Engineering: How to Talk to the AIs
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June 1, 2026 – Present
Clark University Graduate Merit Scholarship (Academic Excellence Award)
Clark University
June 1, 2026 – Present
Udemy Databricks Certification
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans healthcare (UnitedHealth Group), financial transactions, and e-commerce (Hexaware Technologies), demonstrating adaptability across different industry domains. Their involvement in both full-time and internship roles, coupled with a Master's degree in Data Analytics, shows a commitment to continuous learning and professional growth. The breadth of technical skills across cloud platforms, big data, ML, and MLOps indicates a versatile individual who can integrate into diverse technical environments and contribute to various project types. The international experience (India, USA) also suggests an ability to work in multicultural settings.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through optimizing ETL processes, developing ML models for anomaly detection and churn prediction, and automating reporting. Their experience in collaborating with compliance teams and maintaining documentation indicates good operational discipline and teamwork. The focus on quantifiable results (e.g., 60% improved data readiness, 45% reduced ETL time, 99.7% on-time delivery) suggests a results-oriented and efficient work attitude.