Data Analyst with 4+ years of experience building SQL-driven data pipelines, analytical data models, and business reporting systems. Proven impact including 40% faster reporting, 25% reduction in data errors, and 12% cost optimization through forecasting models. Databricks Certified Data Engineer Associate with strong expertise in SQL, data modeling, ETL pipelines, and relational databases.
SQL (Joins, CTEs, Window Functions), Query Optimization, MS SQL Server, MySQL, BigQuery, PostgreSQL.
Star Schema, Fact-Dimension Modeling, Data Warehousing Concepts, ETL/ELT, Data Cleaning, Data Transformation.
Forecasting, Regression Analysis, Time Series Analysis, Clustering, A/B Testing.
Power BI (DAX, Power Query, RLS), Looker Studio, KPI Reporting, Dashboard Automation, Stakeholder Reporting.
Engagement analysis on 700+ records using MySQL.
ETL pipeline design, data quality assessment, and BI dashboards.
Database management (Google Sheets) and Data Studio visualization (Q3-Q4 2024).
Python script using `requests` to fetch real-time weather and location data.
Designed a star-schema using SQL with fact & dimension tables for transactional analytics.