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About Candidate
I am an experienced Analytics Engineer with a strong background in data engineering, advanced analytics, and visualization. I specialize in designing data models, building automated data pipelines, and creating interactive dashboards that drive data-driven decision-making. My recent work has involved leveraging industry-leading tools like SQL, dbt, Snowflake, and Apache Airflow to ensure scalable data architecture.
I excel at transforming raw data into actionable insights that enable business optimization and product strategy development, with a proven ability to collaborate across departments to meet organizational goals.
Location
Education
Work & Experience
• Spearheaded the development of automated ETL pipelines using modular Python scripts, API integrations (Google Ads, Facebook Ads, TikTok Ads, HubSpot), dbt, and SQL, ensuring high data quality, scalability, and integrity. • Architected and optimized dimensional data models for efficient query performance and business reporting. • Provided in-depth analyses leveraging advanced techniques in BigQuery and Snowflake to inform business strategy. • Developed dynamic dashboards in Looker Studio, Power BI, and Tableau using data from custom-built pipelines, enabling real-time performance tracking across marketing channels and improving reporting efficiency for business stakeholders.
