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Data Engineer with less than a year in SQL, Python & AWS for data pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate Data Engineer with a strong foundation in data management, database systems, and data processing. Skilled in SQL, Python and data visualization tools, with experience in collecting, transforming, and analyzing large datasets. Familiar with ETL processes, data warehousing concepts, and building efficient data pipelines to support business decision-making. Strong analytical and problem-solving abilities with keen attention to detail. A quick learner who adapts to new technologies and is committed to turning raw data into reliable, structured, and actionable information.
University of Karachi - UBIT
BS · Software Engineering
August 1, 2023 – June 30, 2026
SCD Data Warehousing With Snowflake
June 1, 2026 – Present
Designed a containerized pipeline using Apache NiFi on EC2 to route data via S3, automating Snowflake ingestion with Snowpipe and implementing CDC using Snowflake Tasks and Streams.
View ProjectReal-Time Data Streaming Pipeline (AWS MSK & Snowflake)
June 1, 2026 – Present
Architected a secure, event-driven pipeline streaming data from AWS MSK to S3, with continuous Snowflake ingestion automated via SQS and Snowpipe
View ProjectCurrency Exchange Rate Data Pipeline
June 1, 2026 – Present
Built a serverless ETL pipeline using AWS Lambda and S3 to ingest real-time currency API data, transforming it into analytics-ready tables in Snowflake.
View ProjectHackathon
Saylani Mass IT Training
June 1, 2026 – Present
AWS Cloud Practitioner Essentials
Coursera
December 1, 2025 – Present
Cultural Fit Analysis
The candidate's involvement in student groups (AWS Student Builders Group, Microsoft Student Ambassador Program) and hackathons indicates a proactive, team-oriented, and continuous learning mindset, which aligns well with a culture of innovation and growth. The diversity of personal projects also shows initiative and a passion for data engineering. However, the absence of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate presents as a quick learner with strong analytical and problem-solving abilities, keen attention to detail, and a commitment to adapting to new technologies. Participation in hackathons and student groups suggests a collaborative and proactive attitude. However, the lack of professional experience makes it difficult to fully assess operational fit and independent work capabilities.