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Power BI Developer with 3+ years in Azure, ETL, and Power BI
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Azure Data Engineer and BI Developer with 3.6 years of experience at TCS, specializing in building scalable ETL pipelines, cloud data platforms, and enterprise BI dashboards. Proven expertise in Azure Data Factory, Databricks, PostgreSQL, Power BI (DAX, Power Query, RLS), and Qlik Sense. Hands-on experience with Medallion Architecture (Bronze/Silver/Gold), data modeling (Star/Snowflake Schema), Customer 360 Solution and cross-platform data integration across Azure and AWS. Microsoft Certified Power BI Data Analyst Associate (PL-300) and Azure Fundamentals (AZ-900) certified.
Sipna College Of Engineering And Technology – SGBA University
B.Ed. Information Technology · Information Technology
N/A – June 30, 2022
Tata Consultancy Services
Azure Data Engineer
August 1, 2024 – Present
India
Tata Consultancy Services
Power BI Developer
September 1, 2022 – July 1, 2024
India
Microsoft Azure Fundamentals
Microsoft
June 1, 2026 – Present
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
AWS Certified Cloud Practitioner - Associate
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services in both Power BI Developer and Azure Data Engineer roles indicates adaptability and a breadth of skills relevant to data-centric organizations. Their involvement in diverse projects like Customer 360 solutions and AI agent development suggests a willingness to engage with varied business requirements and technologies, contributing positively to cultural fit within a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through automating workflows and data quality validation. Their experience in collaborating with BAs and stakeholders indicates good teamwork and communication for operational fit. The ability to manage and fine-tune cloud environments suggests a proactive and responsible approach to system administration.