I build analytics-ready data platforms from raw ingestion to dashboard-ready gold layers. My work spans ETL/ELT pipeline design, dimensional data modeling, and BI development, with a growing focus on modern analytics engineering practices like medallion architecture, workflow orchestration, and transformation-as-code.
I care about data that's trustworthy, fast, and easy for stakeholders to act on whether that's a star schema powering a Power BI suite, or a dbt-modeled warehouse feeding downstream reports.
Quick summary: 1.5+ years turning messy, multi-source data into governed, automated reporting systems cutting manual reporting effort by up to 40% and building pipelines that scale.
Analytics Engineering & Data Modeling
Languages & Programming
BI & Visualization
Databases & Tools
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.
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.