Data Analyst with 5+ years in Snowflake, SQL & Power BI
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 4.6+ years of experience in building, optimizing, and supporting cloud-based analytics solutions. Strong expertise in Snowflake data warehousing, SQL-based ELT pipelines, and BI reporting. Experienced in working with NielsenIQ retail panel data and delivering scalable data solutions for FMCG clients like Unilever.
Vellore Institute of Technology (VIT university)
Bachelor of Computer Science · Computer Science
August 1, 2018 – June 30, 2021
NielsenIQ
Data Analyst
January 1, 2021 – June 30, 2026
India
FMCG Panel Data Automation for Unilever
June 30, 2026 – Present
Designed and developed scalable ETL pipelines using PySpark to process large volumes of structured and semi-structured data. Utilized AWS Glue for data transformation and AWS S3 for secure and efficient storage. Implemented schema validation and data quality checks to ensure consistency across reporting cycles. Automated deployment and monitoring of workflows using Jenkins and Git Delivered interactive Power BI dashboards for performance tracking and actionable insights.
Real-Time Analytics Platform for NIQ
June 30, 2026 – Present
Designed Snowflake schema models optimized for fast and efficient querying. Developed real-time data pipelines and scheduled workflows using Apache Airflow Created dynamic Power BI dashboards to visualize consumer segmentation and product performance. Implemented CI/CD pipelines using GitHub Actions for seamless deployment and version control Enabled business teams to make data-driven decisions with timely and accurate insights.
Indian IPL League
October 1, 2025 – December 31, 2025
Developed an interactive and visually rich IPL Performance Dashboard using Power BI to analyze data from multiple IPL seasons. The project focused on extracting actionable insights from raw match and player datasets, aiding cricket analysts and enthusiasts in identifying key performance metrics, trends, and comparisons. Implemented slicers, drill-through reports, bookmarks, and tooltips to enable rich user interactivity and detailed match or player-level exploration. Conducted trend analysis on player performance and team consistency using time-based visuals, forecasting tools, and custom DAX measures. Used Power BI Service to publish and share reports with scheduled refreshes and row-level security (RLS) for access control. To analyze historical IPL data and derive performance insights for teams and players. Tools: Power BI, Excel, Power Query, DAX
Courier Portal System
June 1, 2021 – November 30, 2021
Language Used: Php Web Browser: chrome and opera User interface design: Html and JavaScript
Advanced Excel for Reporting
LinkedIn Learning
June 30, 2026 – Present
Power BI(Dashboard creation)
Company portal
June 30, 2026 – Present
Snowflake
Company portal
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's experience with NielsenIQ and Unilever, both large corporations, suggests an ability to work within established organizational structures. The diversity of projects, from FMCG panel data to real-time analytics and personal projects like the IPL dashboard, indicates a broad interest in data applications. The role alignment with 'Data Analyst' is strong, and the breadth of skills across data warehousing, ETL, and BI tools supports a good cultural fit for a data-centric role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to deliver actionable insights and enable data-driven decisions, suggesting good problem-solving and business acumen. The focus on automation and optimization points to an operational mindset. However, direct evidence of collaboration, leadership, or communication skills in a team setting is not explicitly detailed in the provided data.