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Data Engineer with 2+ years in Microsoft Azure ecosystem, data pipelines & BI solutions.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Engineer with ~2.5 years of experience in designing and maintaining scalable data pipelines and BI solutions in the Microsoft Azure ecosystem. Hands-on expertise in SQL, Azure Synapse, Microsoft Fabric, Spark SQL, PySpark and Power BI. Passionate about building efficient data solutions and contributing to data-driven decision-making.
Maharana Pratap College of Technology
Bachelor of Engineering (Hons.) · Electronics and Communication Engineering
August 1, 2015 – June 30, 2019
IntMavens Infotech Pvt. Ltd.
Data Engineer
November 1, 2023 – Present
India
AI Variant
Data Analyst Intern
April 1, 2023 – June 1, 2023
India
Unacademy
Sr. Business Development Executive
February 1, 2022 – September 1, 2023
India
Data Analyst Certification
ExcelR Solutions
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans data engineering, data analysis, and business development, showcasing adaptability and a broad skill set. The transition from business development to data engineering, coupled with continuous learning (certifications), indicates a proactive and growth-oriented mindset. The diverse project exposure, particularly in migrating data workloads and supporting various business functions, suggests a good fit for dynamic environments. However, the relatively short tenure in the current data engineering role (less than a year) might warrant further inquiry into long-term commitment and stability.
Soft Skills & Operational Fit
The candidate's resume indicates experience in collaborating with cross-functional teams and presenting insights to stakeholders, suggesting good communication and teamwork skills. The business development background also implies strong client engagement and data-driven decision-making abilities, which are valuable for operational fit in a data engineering role.