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Business Intelligence Developer with 3+ years in Power BI, ETL, and Big Data.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Business Intelligence Engineer with 3.2 years of experience in data analytics, automation, and reporting. Proficient in designing and deploying Power BI dashboards, managing ETL pipelines with Informatica, and leveraging big data technologies like Hadoop and Spark. Adept at transforming raw data into actionable insights to drive data-driven decision-making and optimize business operations.
Pakistan Institute of Engineering and Applied Sciences (PIEAS)
BS · Computer and Information Science
September 1, 2020 – July 1, 2024
Nestle
Sales Automation Engineer
October 1, 2025 – Present
India
Kavtech Solutions
Business Intelligence Engineer
August 1, 2025 – October 1, 2025
India
Wateen Telecom Limited
Business Intelligence Analyst
August 1, 2024 – August 1, 2025
India
Artificial Intelligence Technology Center (AlTec)
Big Data & Cloud Intern
April 1, 2023 – June 1, 2024
India
Data Engineering Fellowship
Bytewise Limited
August 1, 2024 – Present
Big Data Foundations – Level 2
IBM
July 1, 2023 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from a large multinational (Nestle) to a telecom company (Wateen Telecom) and a solutions provider (Kavtech Solutions), as well as an AI technology center. This breadth of experience suggests adaptability and an ability to integrate into various organizational cultures. The project diversity, ranging from sales automation to big data platform development, indicates a broad interest in data-related challenges, which aligns well with the evolving landscape of business intelligence.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration, cross-functional work, and supporting sales teams, suggesting good team collaboration and communication skills. The focus on optimizing processes and ensuring data accuracy indicates an operational fit for roles requiring attention to detail and continuous improvement.