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
I’m 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. If the problem is interesting and the expectations are clear, I’m happy to explore how I can contribute.
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