Analytics Engineer
I build analytics-ready data platforms from raw data to dashboard-ready gold layers. My work spans ETL/ELT, dimensional modeling, dbt, orchestration, and BI development, with a focus on scalable, trustworthy data systems.
1.5+ years of experience turning messy, multi-source data into automated reporting solutions, reducing manual reporting effort by up to 40%.
Databricks Medallion Warehouse End-to-end medallion architecture in Databricks using Apache Airflow and dbt Core — automating data movement across Bronze, Silver, and Gold layers with reusable transformation models and validation checks.
Bike Store Relational Database & Analytics PySpark incremental ETL pipeline from MongoDB to PostgreSQL with automated schema evolution and SQL-based data quality testing, plus 21 analytical SQL reports on sales, customers, and inventory.
Walmart Medallion Data Pipeline Production-style MongoDB → PostgreSQL → dbt pipeline with incremental PySpark extraction, a tested medallion warehouse (Bronze/Silver/Gold), orchestrated with Airflow and containerized with Docker.
Experience across editorial analytics (Medianama) and insurance BI (Bajaj Allianz General Insurance) building automated Power BI dashboards, SQL-based reporting pipelines, and star/fact-dimension data models in PostgreSQL for stakeholder and leadership reporting.
A snake that eats its way through my GitHub contribution graph.
Open to analytics engineering and data analyst roles always happy to talk data modeling, pipelines, or BI.