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Data Engineer with 5+ years in ETL Pipelines, Data Modeling & Cloud Services
Results-driven Data Engineer and Analyst with strong expertise in designing and optimizing ETL pipelines, data models, and analytical solutions across structured and unstructured datasets. Skilled in SQL, Python, R, Tableau, and AWS services (S3, Glue, Redshift, Athena), with proven ability to deliver high-quality data insights and business intelligence solutions. Experienced in predictive modeling, cost/benefit and risk analysis, and data visualization, enabling strategic decision-making and operational efficiency. Adept at building interactive dashboards, automated reporting workflows, and real-time data pipelines, ensuring data quality, integrity, and accessibility. Collaborative team player with a track record of working in Agile environments, mentoring analysts, and partnering with stakeholders to translate business needs into actionable data solutions. Certified in Microsoft PL-300 Power BI Data Analyst Associate and AWS Cloud Practitioner.
Campbellsville University-KY
M.S. · Computer Science
August 1, 2024 – June 30, 2026
Malla Reddy Engineering College and Management Sciences
B. Tech · Information Technology
August 1, 2016 – June 30, 2020
CITI BANK
Data Analyst
September 1, 2025 – Present
USA
Myraid Genetics
Data Engineer
August 1, 2022 – August 1, 2025
USA
Tech Mahindra
Data Analyst
November 1, 2020 – July 1, 2022
India
Predictive Analytics for Healthcare Data Using Machine Learning
June 1, 2026 – Present
Focused on analyzing healthcare datasets such as patient records and treatment outcomes to build predictive models for disease progression and treatment success. Applied machine learning algorithms including Random Forest and SVM using Python and R, combined with SQL-based data preparation and transformation. Developed Tableau dashboards to present predictive insights, supporting improved healthcare decision-making and optimized resource allocation.
ETL Pipeline for Streaming Data Using AWS Services
June 1, 2026 – Present
Designed and implemented an ETL pipeline to process streaming data from sources such as IoT devices and social media feeds. Focused on extracting, transforming, and loading real-time data into a cloud data warehouse using AWS services including S3, Glue, and Redshift. Utilized Python and SQL for automation, transformation, and optimization, ensuring reliable and efficient handling of large-scale streaming data workflows.
Microsoft PL-300: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including academic projects in healthcare analytics and streaming data, alongside professional roles in banking and genetics, indicates adaptability and a broad interest in applying data engineering skills across different domains. Their involvement in Agile teams and mentoring activities suggests a collaborative and growth-oriented mindset, which aligns well with a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through their involvement in Agile ceremonies and partnerships with stakeholders. Their experience in mentoring analysts and leading cross-functional projects indicates leadership potential and a proactive approach. The ability to translate business requirements into technical solutions and manage project progress using tools like Jira and Confluence suggests good operational fit.