Senior Data Engineer
From Raw Data to AI-Ready Infrastructure
About
I’m a Senior Data Engineer with 5+ years building data platforms, and co-founder of Fractional Data Engineer. I’ve designed and deployed 400+ production pipelines across AWS, Google Cloud, and Snowflake, using Spark, Airflow, Kafka, and dbt to turn scattered, messy data into reliable, analytics and AI-ready infrastructure. I lead data initiatives end to end, and I care about one thing above all: shipping systems teams can actually rely on, fast, and without overspending (one platform I optimized cut costs by 60%).
5+ Years
Data Engineering
400+ Pipelines
Built & Deployed
60% Cost Reduction
Platform Optimization
Technical Stack
Data Engineering & Processing
- Python
- Apache Spark
- Apache Airflow
- Apache Kafka
Cloud & Infrastructure
- AWS
- Google Cloud
- Snowflake
- Terraform
DevOps & Analytics
- Docker
- Kubernetes
- dbt
- Tableau
Blog
The Day I Realized Data Governance Was My Job (Even Though Nobody Said So)
Why Your First Data Engineer Shouldn’t Be a Full-Time Hire
Leading MLOps Implementation: A Data Engineering Manager’s Quarterly Strategy
How to Simplify Data Pipeline Deployment with CI/CD in Data Engineering
The Key to Providing Business Value Through DataOps
The Biggest Mistake I Made as a Data Engineer
Bulk Jobs vs. Delta Jobs in Data Engineering: Choosing the Right Approach
How to Easily Extract Salesforce Data Using PySpark in Python
Metrics for Data Engineering: Why, How, and Which Metrics to Track
Enhancing Code Reusability with Python Packages in AWS Glue
Connect
Looking for better data strategy or architecture? Let's connect and discuss how we can transform your data infrastructure.
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GitHub
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Fractional Data Engineer