Available to hire
I’m a Senior Data Engineer with around 6 years of IT experience designing scalable data pipelines, data models, and cloud analytics platforms using DBT, Snowflake, SQL, and Python. I transform raw data into structured datasets and implement ELT workflows to empower analytics and reporting.
I bring strong experience across the full SDLC, Agile Scrum teams, CI/CD automation, and cross-functional collaboration to deliver high-quality data solutions aligned with business objectives.
Skills
Language
English
Fluent
Work Experience
Data Engineer at Fidelity Investments
July 1, 2023 - PresentDesigned and maintained scalable Azure-based data platforms using Microsoft Fabric, Lakehouse, and Databricks, enabling secure analytics for financial and trading use cases. Built robust ETL and transformation workflows using Fabric Spark, PySpark, and SQL, improving data availability and processing efficiency. Developed governed semantic data models and star schemas to support high-performance Power BI dashboards, improving executive reporting accuracy. Implemented data governance practices including row-level security, lineage tracking, and quality monitoring, ensuring regulatory compliance. Designed and deployed interactive Power BI reports with custom visuals and DAX calculations, enabling data-driven investment and risk decisions.
Data Engineer at Sutter Health
May 1, 2021 - August 1, 2022Architected secure Lakehouse-based data solutions using Microsoft Fabric, Azure Data Lake, and Databricks, supporting clinical and operational analytics. Developed ETL pipelines using SQL and Fabric Spark to process high-volume healthcare datasets with reliability and scalability. Designed logical and physical data models to support patient outcomes, operational KPIs, and regulatory reporting. Built and maintained Power BI dashboards with row-level security to deliver compliant, role-based access to healthcare insights. Enforced data governance standards including data lineage, audit logging, and quality checks to meet HIPAA and compliance requirements.
Data Analyst & Engineer at Target
January 1, 2019 - April 1, 2021Designed scalable Lakehouse architectures using Microsoft Fabric, enabling enterprise-wide retail analytics and forecasting. Built and optimized data transformation pipelines using SQL, PySpark, and SSIS, improving data freshness and reliability. Modeled dimensional datasets to support sales, inventory, and supply chain analytics in Power BI. Developed Power BI dashboards with visuals and performance-optimized DAX, enabling near real-time business insights.
Associate Data Engineer at Target
January 1, 2020 - April 1, 2021Migrated 10TB+ enterprise retail datasets to Snowflake cloud data warehouse, improving query performance by 35%. Built and orchestrated ETL/ELT pipelines using Airflow, Spark, SQL, and Python. Designed star-schema dimensional models and data marts supporting sales, inventory, and supply chain analytics. Developed automated data ingestion workflows and data transformation pipelines supporting reporting and analytics. Implemented CI/CD deployment using Jenkins, Docker, and Git improving release reliability and reducing deployment cycles by 25%. Built streaming ingestion pipelines capturing clickstream and transaction data for real-time analytics. Partnered with cross-functional business teams to translate reporting requirements into scalable data models.
Education
Master of Science in Data Science at University of Houston-Clear Lake
August 1, 2022 - May 1, 2024Master of Science (MS), Data Science at University of Houston-Clear Lake
January 11, 2030 - February 17, 2026Qualifications
Industry Experience
Financial Services, Healthcare, Retail, Software & Internet, Professional Services
Skills
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