Data Engineer & Software Engineer
What I Do
Areas where I’ve built hands-on experience across data engineering and software systems
Data Engineering & Pipelines
Serverless data pipelines built using AWS-native services (Lambda, Glue, Step Functions), following production-style patterns such as medallion architectures, incremental processing, and explicit orchestration boundaries.
Event-Driven Architecture
Event-driven serverless workflows using API Gateway, SQS, and Lambda. Experience with webhook ingestion, message buffering, retry logic, and error handling in asynchronous distributed systems.
Analytics & Data Warehousing
Analytics workflows built on Snowflake and Python, combining SQL-based warehouse querying with Pandas transformations and interactive visualizations to support exploratory analysis and reproducible reporting.
PySpark & Batch Processing
Distributed batch processing using AWS Glue and PySpark, including schema enforcement, partition-aware transformations, and optimization strategies for non-trivial data volumes.
CI/CD & Infrastructure Automation
CI/CD pipelines built with GitHub Actions, including OIDC-based authentication, automated testing, and idempotent deployment workflows to support reliable iteration and safe changes.
API Integration & Backend Systems
Backend and API development involving RESTful services, third-party integrations (Stripe, Slack, Email, CRM systems), secure secrets handling, and webhook-based workflows.
Why Work With Me
I bring senior-level technical leadership combined with hands-on implementation skills. My approach emphasizes reliability, clarity, and long-term system health over quick fixes.
Modern Tech Stack
Cloud-native, battle-tested tools
Proven Experience in Distributed Systems
Years of work in telecom automation and DevOps have given me deep understanding of complex, interconnected systems.
End-to-End Ownership
Built entire systems alone — including SaaS products, CI/CD pipelines, data platforms, and orchestration workflows.
Strong Engineering Discipline
Prioritize clarity, maintainability, observability, and correctness. Systems should be easy to understand, debug, and improve.
Full-Stack Breadth with Data Engineering Depth
Background spans SWE, DevOps, and DE — enabling holistic problem-solving across the entire stack.
Team Integration or Independent Operation
Deliver results with minimal oversight while maintaining professional communication and clear documentation.
Professional Integrity & Reliability
Take pride in doing things right. Detail-oriented, honest, and principled in all engineering decisions.
Featured Expertise
A comprehensive skill set built through years of hands-on experience
Data Engineering & Processing
Cloud Data Warehouses & SQL
Python & Analytics
AWS Serverless & CI/CD
Featured Projects
Production systems demonstrating end-to-end data engineering excellence
Wistia Video Analytics Pipeline
Fully automated AWS-native data pipeline ingesting daily video analytics from Wistia API. Processes data through Bronze/Silver/Gold medallion architecture with incremental updates and DynamoDB watermarking.
- Medallion architecture
- Incremental processing
- CI/CD with GitHub Actions
Walmart Sales Analytics Pipeline
Python-based analytics workflow connecting to Snowflake for retail sales analysis. SQLAlchemy queries with Pandas transformations and interactive Plotly visualizations exploring seasonal trends.
- Programmatic warehouse access
- Exploratory analysis
- Reproducible workflows
Real-Time CRM Lead Pipeline
Event-driven serverless pipeline capturing CRM webhooks, enriching lead data with owner information, and delivering real-time Slack notifications with 10-minute SQS buffering.
- Sub-minute latency
- Idempotent processing
- Secure secrets management
Let's Build Something Great Together
While I can't currently take on any new contracts, I am usually open to working across a wide range of projects, short or long term, exploratory or production-focused, spanning data engineering, backend systems, and cloud-native architecture. I’m comfortable owning systems end-to-end, and I’m equally open to growing into a role where the scope or technology is still evolving. You can still reach out to schedule an intro call or discuss potential future collaborations. I’m always happy to connect with teams that value reliability, clarity, and long-term system health.
Especially interested in teams that value clarity, ownership, and long-term system quality.
Quick Response
I aim to reply within 1–2 business days
Flexible Engagement
Project-based or ongoing contracts
Global Availability
Based in Texas, open to remote collaboration