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Data Engineer with 8+ years in ETL pipelines, AWS & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Engineer with 8+ years of experience building scalable ETL pipelines and data warehouse solutions. Currently leading development and production support teams, focusing on delivering reliable and high-performance data systems. Strong hands-on expertise in SQL, Python, and AWS, with a practical approach to solving complex data challenges, optimizing pipelines, and improving system performance. Experienced in managing end-to-end data workflows, reducing downtime, and ensuring data reliability at scale. Comfortable working closely with cross-functional teams, mentoring engineers, and driving technical decisions to deliver efficient and cost-effective data solutions.
Virtual University of Pakistan
MCS
N/A – June 30, 2022
Punjab University
BSc
N/A – Present
BISE Lahore
FSC
N/A – Present
Kavtech Solutions Pvt Ltd
Sr. Data Engineer (Team Lead)
March 1, 2022 – Present
India
Disney
Cost Optimization & Data Governance POC
February 1, 2022 – December 1, 2022
India
Halo Informatics
Data Analytics & BI Developer
January 1, 2018 – February 1, 2022
India
GitLab CI/CD: Pipelines, CI/CD and DevOps
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across multiple industries (Real Estate, Finance, Healthcare) and various client engagements indicates adaptability and a broad perspective. Their role as a Team Lead and mentor suggests a collaborative and knowledge-sharing approach, which aligns well with a positive team culture. The emphasis on cost optimization and efficient solutions also points to a results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership skills as a Team Lead, mentoring junior engineers and defining SOPs. Their experience in client engagement, requirement gathering, and collaboration with cross-functional teams indicates good communication and teamwork abilities. The focus on optimizing pipelines, reducing costs, and improving data reliability suggests a proactive and problem-solving operational fit.