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Data Engineer with 1+ years in AWS & 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
Resourceful Data Engineer with experience in designing and managing scalable data pipelines and cloud data infrastructure on AWS, including S3, Glue, Lambda, and Redshift. Proven ability to architect end-to-end AI pipelines following Medallion Architecture, optimize ETL processes, and deliver interactive Power BI dashboards for financial reporting. Possesses strong skills in Python, SQL, and data modeling, eager to leverage expertise in data solutions and analytics to drive business value.
DHA Suffa University
BSc · Business Analytics & Programming
October 1, 2022 – October 1, 2026
University of Sindh
Associate Degree · Commerce
January 1, 2022 – January 1, 2024
Premier College
High School Diploma
January 1, 2017 – January 1, 2019
Verito Global
Data Engineer
January 1, 2026 – Present
Karachi, Sindh, Pakistan
S.A.A Enterprises
Financial Analyst
January 1, 2025 – December 1, 2025
Karachi, Sindh, Pakistan
Financial AI Pipeline
June 1, 2026 – Present
AWS S3. Glue Athena Lambda · Power BI . Python
Sales Performance Dashboard
June 1, 2026 – Present
Power BI Power Query. DAX
AI Automation Workflow
June 1, 2026 – Present
Python Claude API. Zapier
Python Data Analysis
June 1, 2026 – Present
Python pandas matplotlib
Financial Reporting & Cost Analysis
June 1, 2026 – Present
Excel
IELTS Certified
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data engineering, AI automation, and financial analytics, aligning well with a data-driven culture. The experience as a Financial Analyst, followed by a Data Engineer role, indicates a practical understanding of business needs and data application. The personal projects, especially those involving LLM integration and workflow automation, show initiative and a proactive approach to learning new technologies. However, the candidate's experience level (1 year as Data Engineer) suggests they are still early in their career, which might require more mentorship in a senior-level role.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, stakeholder communication, and problem-solving, which are crucial for operational fit in a data engineering role. The description of optimizing ETL processes and enhancing pipeline reliability suggests a focus on operational efficiency. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.