Technical Skills
Expertise in modern data engineering tools and technologies
💼 Data Engineering
Python90%
ETL/ELT90%
SQL90%
CI/CD75%
📊 Data Analysis & BI
Excel90%
Power BI80%
Tableau70%
☁️ Cloud & DevOps
AWS80%
Docker80%
GCP70%
🗃️ Databases
PostgreSQL90%
Redis70%
Featured Projects
Real-world data engineering projects showcasing end-to-end pipeline development, analytics, and production deployment
Professional Experience
Building data solutions that drive business value and operational excellence
Data Engineer
Material Insights
Sep 2022 – Nov 2025
Built the entire data engine behind the company's materials-science platform, transforming raw experimental data into structured, analytics-ready datasets.
Key Achievements:
- •Designed, built, and maintained end-to-end ETL pipelines for experimental materials data
- •Implemented multi-layer AWS S3 architecture (raw, processed, gold) for scalable data lifecycle management
- •Developed AWS Glue ETL jobs for validation, enrichment, schema checks, and normalization
- •Built routing systems to push processed results into MongoDB and internal APIs
- •Automated recurring Excel reports using Python (Xlwings)
- •Developed Tableau dashboards to visualize trends, compare materials, and support experiment planning
PythonSQLAWS (S3, Glue)Data ModelingETL Pipeline DesignTableauCI/CDDocker
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