Senior Data Analysis with 7+ years in Data Field, ETL, and Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Currently working as a Data Analyst Engineer with 7 years of IT experience in the Data field. Possesses extensive programming experience using SQL and Python, along with expertise in using Excel and BI tools for data analysis, pipeline building, and generating business insights. Experienced in developing ETL solutions and has excellent communication skills to work directly with clients, identify business objectives, and establish requirements. Has beginner-level knowledge in Azure Data Bricks and PySpark.
Mumbai University
Bachelor of Engineering · Electronics and Telecommunication
N/A – June 30, 2017
Accenture Pvt Solutions Ltd.
Data Analyst Engineer
December 22, 2021 – Present
India
Magna Infotech Pvt Ltd.
Accenture Contractor – NBN (National Broadband Network) Co.
January 28, 2019 – December 22, 2021
India
The Complete SQL Bootcamp: Go from Zero to Hero
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June 1, 2026 – Present
Python for data Science & Machine Learning
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CCNA certified course
RST FORUM
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Complete Generative AI Course with Langchain and Huggingface
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Cultural Fit Analysis
The candidate has experience across two companies, Accenture and Magna Infotech (contractor for Accenture), working on diverse projects like revenue assurance and asset migration. This demonstrates adaptability and exposure to different business contexts. The breadth of skills, from traditional ETL to newer areas like Azure Databricks and an interest in Generative AI, suggests a willingness to learn and grow, which aligns well with a dynamic work environment. The target role of 'Senior Data Analysis' aligns well with the candidate's 7 years of experience and demonstrated capabilities in data analysis, ETL, and reporting.
Soft Skills & Operational Fit
The candidate's resume highlights strong communication skills and a background in working directly with clients to identify business objectives. This indicates a good operational fit for roles requiring stakeholder interaction and requirements gathering. The automation efforts mentioned (Pandas for daily reporting, Streamlit for dashboard updates) suggest a proactive approach to improving efficiency.