Resume
Data Engineer with 4 years building ETL pipelines, data quality frameworks, and monitoring systems on Azure and Microsoft Fabric — full-stack across ingestion, transformation, warehouse optimization, and orchestration.
Impact
~$50K
Annual infra cost cut via Fabric tuning
75% → 95%
Data accuracy lift with a QA framework
20+
Sources unified into one lakehouse
50+
Automated data quality checks
Experience
Data Engineer / Data Quality Engineer
- Built and maintained ETL pipelines in Microsoft Fabric and Azure Data Factory pulling from 20+ sources (REST APIs, SQL databases, flat files) into a medallion-architecture lakehouse.
- Reduced Fabric warehouse CU consumption from ~70% to ~30% through query rewrites, pipeline restructuring, and capacity tuning — cutting annual infrastructure costs by ~$50K.
- Built a Python data quality framework with 50+ validation checks (completeness, accuracy, timeliness, consistency), lifting overall data accuracy from ~75% to ~95%.
- Set up automated alerting with Azure Functions, Logic Apps, and Power Automate to detect anomalies and page on-call within 5 minutes.
- Wrote a Python OCR pipeline to structure data from unstructured documents; automated Tableau-to-warehouse reconciliation, eliminating ~80% of manual validation.
Data Quality Analyst Intern
- Assessed data quality across a franchise-management database and surfaced integrity issues impacting business reporting.
- Built validation checks in Python against multiple data sources and API endpoints.
- Tracked and resolved 30+ data defects in Azure DevOps, coordinating schema fixes and validation-rule updates with engineering.
S
Data Engineering Intern
- Developed automated data validation pipelines in Python and SQL across production databases.
- Built a REST API integration layer to ingest, validate, and transform JSON/XML payloads for warehouse loading.
- Integrated pipelines with Jenkins CI/CD, cutting deployment time by ~60%.
G
Software Developer
- Built ETL processing applications in Java and Python across 3 systems with automated validation scripts.
- Wrote SQL/Python checks to catch data quality issues before production, and 15+ pipeline components with structured logging.
Education
M.S., Business Analytics & Artificial Intelligence
B.S., Computer Science
Skills
- Microsoft Fabric
- Azure Data Factory
- Azure Synapse
- Azure Functions
- Logic Apps
- Python
- SQL (T-SQL, PL/SQL)
- Java
- ETL / ELT
- Medallion architecture
- Data lakehouse
- REST API integration
- Incremental loading / CDC
- Data quality & validation
- Monitoring & alerting
- Power BI
- Tableau / Tableau API
- Azure DevOps
- Jenkins CI/CD
- QA / SDET
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