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Data Engineer with less than a year in Python & AWS
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Assessing your cultural and operational fit
Data Engineer with hands-on production experience building ETL pipelines and a Medallion (Bronze-Silver-Gold) architecture on AWS - cutting reporting time by 90% and processing 3,000+ records at Nexzu Mobility. Comfortable across the full stack: Spark/PySpark for processing, Airflow/NiFi for orchestration, S3/Glue/EMR/Redshift for storage and compute. Looking to bring that same bias toward measurable impact to a team building data infrastructure at scale.
Sandip University
Bachelor of Technology · Computer Science Engineering
January 1, 2022 – June 1, 2026
Ramrao Adik Public School
10th (SSC)
N/A – January 1, 2020
Dr. R. P. Nath Jr. College
12th (HSC)
N/A – January 1, 2022
Nexzu Mobility Pvt. Ltd.
Data Engineer / Analyst Intern
April 1, 2026 – Present
India
Octanet Pvt Ltd
Python Developer Intern
July 1, 2024 – August 1, 2024
India
Ecommerce Data Pipeline — Medallion Architecture on AWS
June 30, 2026 – Present
Built an end-to-end e-commerce data pipeline supporting near real-time reporting and customer analytics, designing a Medallion architecture (Bronze-Silver-Gold layers) on AWS S3. Ingested structured and unstructured data from RDBMS and FTP sources into AWS S3 by building ingestion workflows with AWS Glue and Apache NiFi. Reduced shuffle overhead and improved throughput by tuning Spark jobs on EMR with dynamic resource allocation and optimized executor/core configurations. Ensured reliable, fault-tolerant pipeline execution by orchestrating end-to-end workflows with Apache Airflow on a scheduled basis. Improved data trustworthiness by implementing data quality checks including schema validation, referential integrity, and anomaly detection. Enabled analytics and real-time application use cases by transforming and loading processed data into Redshift and MongoDB. Translated business requirements into scalable technical design by collaborating with stakeholders and business analysts throughout the build.
Cultural Fit Analysis
The candidate's project diversity, including an e-commerce data pipeline and automation tasks, aligns well with a dynamic data engineering environment. Their proactive approach to learning and applying various technologies (AWS, Spark, Airflow, NiFi) indicates adaptability and a growth mindset. The target role of Data Engineer is a strong match for their stated skills and project experience. However, the candidate is still pursuing their Bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing Spark jobs and automating reporting. Their collaboration with stakeholders indicates good teamwork and communication. The focus on measurable impact (e.g., cutting reporting time by 90%) suggests a results-oriented approach. However, as an intern, their experience in a full-time operational role is limited, and their ability to handle complex production incidents or lead large-scale projects independently is yet to be proven.