About
Results-driven Data Engineer with 6 months of experience designing and optimizing scalable ETL pipelines and modern cloud data platforms using Python, SQL, PySpark, and AWS. Proven expertise in building data lakes, orchestrating complex workflows with Apache Airflow, and processing large-scale datasets efficiently. Experienced in optimizing data workflows on AWS EMR and AWS Glue, achieving up to 40% cost reduction in data processing. Strong background in migrating legacy SQL/NoSQL systems to modern data warehouses such as Redshift and Snowflake, and delivering reliable data solutions that support analytics and business intelligence.
Skills & Expertise (38)
Work Experience
Data Engineer Intern
Reckonsys Tech Labs Pvt. Ltd.
Jan 2026 - Jul 2026
Engineered serverless real-time data ingestion pipelines using AWS Kinesis and Lambda, processing 100GB+ daily log telemetry with sub-second latency. Developed and orchestrated scalable AWS Glue (PySpark) ETL workflows via Apache Airflow, optimizing EMR partition strategies to reduce job runtime by 30%. Assisted in migrating 5TB+ historical data from MongoDB and on-premise SQL Server to AWS Redshift using AWS DMS, designing Star Schema models that improved BI query performance by 40%. Architected a centralized Data Lake on Amazon S3 for native AWS Athena analytics, integrating Great Expectations (GE) to guarantee 99.9% data accuracy and regulatory compliance.
Education
B.Tech in Computer Science - Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV)
2022 - 2026 ยท Afghanistan
Certifications
AWS Certified Developer
Infosys Springboard ยท 2026
SQL Developer
Infosys Springboard ยท 2026
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Citizen
Relocation
Open to Relocation
Skills (38)
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