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Data Engineer with 1+ years in ETL/ELT, AWS & Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Data Engineer (Associate IT Consultant) with a strong foundation in Python, SQL, and big data technologies. Experienced in designing and implementing scalable ETL/ELT pipelines using Databricks and AWS services. Proficient in data warehousing, data modeling, and developing BI solutions with Power BI. Demonstrated ability to process high-volume data, optimize resources, and ensure data consistency across different layers, with a focus on delivering analytics-ready reporting solutions.
Gandhi Institute of Engineering and Technology University
Bachelor of Technology · Computer Science
August 1, 2020 – June 30, 2024
Guru Nanak Public School
CBSE Board, Intermediate (PCM)
June 1, 2017 – May 31, 2019
ITC Infotech Ltd
Data Engineer (Associate IT Consultant)
September 1, 2024 – Present
Bengaluru, Karnataka, India
ML-Driven Healthcare Claims Platform
January 1, 2023 – June 1, 2024
Built scalable healthcare claims and EMR data pipelines using Azure Data Factory and Azure Databricks, implementing Medallion Architecture to standardize multi-source healthcare datasets for analytics and ML workflows. Developed and processed curated healthcare claims datasets using SQL and PySpark on Delta Lake architecture within Azure Databricks, enabling scalable data transformation, feature engineering, and machine learning classification models to predict claim denial and payment likelihood.
NYC Taxi Data Pipeline & Analytics
January 1, 2023 – June 1, 2024
Built modular ETL pipelines using AWS Glue and PySpark to ingest, cleanse, transform, and validate NYC taxi trip data into analytics-ready S3/Iceberg datasets. Automated AWS infrastructure provisioning and pipeline deployment using Terraform, including S3, IAM, Glue, and CloudWatch resources, while implementing testing frameworks to ensure data quality and transformation accuracy.
AWS Certified Data Engineer - Associate
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and upcoming professional role align well with a Data Engineer position, demonstrating a clear career path and interest in the domain. The use of diverse technologies (AWS, Azure, Databricks, Snowflake, Power BI) indicates adaptability and a broad technical curiosity. The focus on practical applications like HR analytics and healthcare claims suggests an understanding of business value, which is a positive cultural fit for results-oriented teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good problem-solving skills. The focus on automation and data quality implies attention to detail and a proactive approach to operational excellence. While direct evidence of teamwork or stress handling is not provided, the nature of the projects suggests an ability to manage project scope and technical challenges.