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Data Analyst with 4+ years in AWS Cloud & Business Intelligence
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Assessing your cultural and operational fit
Strategic Data Analyst with 3+ years of progressive experience leveraging advanced analytics to drive measurable business impact, now actively transitioning into AWS Cloud Support and Cloud Engineering. Specialises in architecting sophisticated dashboards, rigorous data modelling, and statistical analysis using Power BI, Excel, and SQL, with growing expertise in cloud-based environments. Hands-on experience with AWS services including EC2, S3, RDS, VPC, IAM, and CloudWatch, complemented by deep operational expertise in incident management, SLA monitoring, and technical root cause analysis. Seeking a cloud support or cloud engineering opportunity to combine analytical strengths with AWS knowledge and grow into a mid-level cloud role.
Vemana Institute of Technology
Bachelor of Engineering · Mechanical Engineering
August 1, 2015 – June 30, 2019
New Horizon P.U. College
Higher Secondary Education
June 1, 2012 – May 31, 2014
Indian Public School
SSLC
June 1, 2011 – May 31, 2012
Computacenter
Associate Technical Analyst
January 1, 2024 – Present
Bengaluru, Karnataka, India
Amazon Pvt Ltd
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April 1, 2023 – September 30, 2023
Bengaluru, Karnataka, India
Amazon Pvt Ltd
Risk Transaction Investigator
September 1, 2021 – October 31, 2022
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Cultural Fit Analysis
The candidate exhibits a strong cultural fit through their proactive learning (AWS), diverse project experience (data analysis, marketing operations, risk investigation), and a clear drive for measurable business impact. Their ability to collaborate across teams and manage stakeholders, combined with a focus on operational excellence and continuous improvement, aligns well with dynamic, data-driven environments. The stated career aspiration towards cloud roles also indicates ambition and a desire for continuous growth.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including stakeholder management, cross-functional collaboration, and effective communication, particularly in translating complex data into actionable recommendations for non-technical audiences. Their experience in designing training sessions and documentation highlights a commitment to knowledge transfer and standardisation. Operationally, they exhibit a keen focus on process improvement, SLA adherence, and establishing robust reporting frameworks, indicating a detail-oriented and results-driven approach.