Data Engineer | Analytics | Cloud Solutions
Transforming data into actionable insights.
Data engineer with a passion for designing, building, and optimizing large-scale data pipelines on cloud platforms. Specialized in ETL/ELT orchestration, big data analytics, and machine learning infrastructure. Currently a Data Analyst Research Assistant at USC, driving innovation through data-driven solutions.
About
Certified Associate Cloud Engineer with 4+ years of experience in data engineering and analytics. Passionate about leveraging cloud platforms (GCP, AWS) to solve complex data challenges and drive business impact. Currently pursuing a Master of Science in Analytics at USC (GPA: 3.8).
Core Strengths
Capabilities across cloud architecture, pipeline engineering, governance, and ML infrastructure.
Big Data & Cloud Architecture
GCP (BigQuery, Dataproc, GCS, Vertex AI), AWS (S3, EC2), Snowflake, and modern data stack patterns.
Pipeline Orchestration & Automation
Airflow/Composer, CI/CD with Git, API-based ingestion, event-driven processing, and production monitoring.
Data Quality & Governance
Validation checks, DVT, lineage, and audit-ready reporting — with an emphasis on reliability and compliance.
Analytics Enablement
dbt modeling (star schemas), Looker/LookML metrics layers, and Power BI/Tableau dashboards for stakeholders.
Performance & Cost Optimization
Query tuning, partitioning/clustering, Spark parameter optimization, and infrastructure right-sizing.
ML Pipelines & Deployment
Feature engineering, training workflows, Vertex AI pipelines, and reproducible experimentation (RAG / embeddings).
Why Hire Me
A track record of measurable impact and scalable delivery.
Proven Impact
- $10M+ annual infrastructure savings through cloud modernization
- $1.2M annual savings enabled via governed metrics layer insights
- $23k annual AWS cost reduction through EC2 optimization
Scalable Engineering
- Built pipelines processing 150M+ daily records from 30+ sources
- Migrated 1,500+ tables to BigQuery with zero downtime
- Eliminated 16 hours/day of manual operations via orchestration automation
Quick Links
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Contact
Open to data engineering and analytics opportunities in Los Angeles or remote.
Get in touch
Best way to reach me is email. I typically respond within 24–48 hours.
What I’m looking for
- Data Engineering / Analytics Engineering roles (GCP, Snowflake, BigQuery)
- Pipeline orchestration, data modeling, performance optimization
- ML infrastructure / feature pipelines / streaming (Kafka, Spark)
- Stakeholder-facing analytics and metrics layer governance