Power BI Developer with 4+ years in BI, data modeling & ETL pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 3+ years of BI and data integration experience, delivering enterprise-scale ETL pipelines and data models. Proficient in SQL, Power Query, and DAX for efficient data transformation and loading, with hands-on expertise in star and snowflake schemas. Proven track record of translating business requirements into actionable dashboards and scalable data solutions.
PACE INSTITUTE OF TECHNOLOGY & SCIENCES
Bachelor of Technology · Mechanical Engineering
N/A – June 30, 2021
MISTA Infra
Power BI Developer
October 1, 2024 – Present
Bengaluru, Karnataka, India
Ernst & Young LLP
Project Consultant
February 1, 2024 – April 1, 2024
Chennai, Tamil Nadu, India
Tech Mahindra Limited
Software Engineer
January 1, 2022 – January 1, 2024
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate has worked in diverse environments, from a large consulting firm (EY) to a major IT service provider (Tech Mahindra) and a specialized infrastructure company (MISTA Infra). This exposure to different organizational cultures and project types suggests adaptability. Their role as a Power BI Developer across these companies indicates a clear career path and commitment to the BI domain, aligning with a focused cultural fit for a Power BI-centric team. The breadth of skills listed, including cloud platforms, also shows a willingness to learn and adapt to new technologies.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as stakeholder collaboration, requirement analysis, and production support, which are crucial for a senior Power BI Developer role. Their experience across different companies suggests adaptability and a professional approach to project delivery and support. The focus on optimizing report performance and ensuring data accuracy aligns well with operational best practices.