About
Early-career Data Engineer with an M.Tech in Computer Science & Big Data Analytics and hands-on AWS production experience. Built end-to-end data platforms using Python, SQL, S3, PySpark, AWS Glue, Redshift, dbt and Airflow, covering ETL/ELT, data quality, dimensional modelling and batch orchestration. Experienced in production monitoring, log analysis and troubleshooting across AWS environments.
Skills & Expertise (39)
Work Experience
AWS Cloud Operations Intern
Signify
Jun 2025 - Mar 2026
Monitored and troubleshot AWS production infrastructure using CloudWatch, Icinga and OTRS, analysing alerts, logs and performance metrics to identify abnormalities and support incident resolution. Resolved 300+ operational and infrastructure tickets through root-cause analysis, severity-based prioritisation and systematic troubleshooting while following production runbooks. Monitored EC2, ECS, S3, Lambda, IAM, SNS and ALB using CloudWatch alarms and operational metrics; performed health checks, post-migration validation and production performance assessments. Analysed application/infrastructure logs in Kibana and ticket trends in Grafana, identifying recurring incident patterns and supporting high-priority production troubleshooting with shift teams. Investigated production incidents by correlating CloudWatch metrics, application logs, infrastructure alerts and ticket history, helping isolate potential root causes across application and AWS infrastructure components. Performed post-deployment and post-migration validation by verifying application availability, AWS resource health, service connectivity and key operational metrics to identify issues before they impacted production users. Collaborated closely with shift teams, application support and infrastructure teams during high-priority incidents, sharing findings, coordinating troubleshooting activities and ensuring timely handoffs and resolution updates. Maintained awareness of production SLAs, incident severity and operational priorities, ensuring critical alerts and customer-impacting issues were investigated and escalated appropriately. Used OTRS ticketing workflows to document incident investigation, troubleshooting steps, resolution details and recurring issues, improving traceability and supporting knowledge sharing across support teams. Supported continuous production monitoring by reviewing alerts, logs, dashboards and infrastructure health indicators, helping identify abnormal behaviour and recurring operational issues proactively.
Education
M.Tech. in Computer Science - Big Data Analytics Specialization - Vellore Institute of Technology, Vellore
2024 - 2026 · Afghanistan
B.Tech. in Computer Science Engineering - Silicon Institute of Technology, Bhubaneswar
2019 - 2023 · Afghanistan
Certifications
Complete AI Data Engineering With AWS (6.0) – Basic to Advance
Growdataskill · 2026
Python For Data Engineer
Udemy · 2026
Complete MySQL Bootcamp
Datacamp · 2025
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Skills (39)
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