Summary
I specialize in designing robust data pipelines, real-time streaming architectures, and full-stack analytics solutions. My work spans data ingestion, modeling, orchestration, cloud deployment, and visualization—delivering end-to-end systems that power business intelligence and ML workflows.
Case Studies & Technical Achievements
High-Performance Event Processing at Disney
- Challenge: Slow query performance on event-based data impacting downstream analytics
- Solution: Redesigning data models and optimizing Snowflake queries
- Impact: 30% performance improvement, significant cost reduction
- Technologies: Snowflake, Python, Apache Airflow, SQL
Real-Time Reporting Infrastructure
- Challenge: Business needed near real-time visibility into operational metrics
- Solution: Built event-driven pipeline with streaming architecture
- Impact: Sub-2-minute data latency from source to dashboard
- Technologies: Apache Kafka, Python, PostgreSQL, Metabase
Multi-Source Data Integration Platform
- Challenge: Manual reporting consuming 200+ hours monthly across marketing channels
- Solution: Built FastAPI platform integrating FB, Google Ads, AdRoll APIs
- Impact: Fully automated reporting, 2M+ requests/month capacity
- Technologies: FastAPI, Azure, Python, REST APIs, Docker
Enterprise Data Synchronization
- Challenge: Sync millions of rows between MS Dynamics and POS systems
- Solution: Designed robust ETL pipeline with error handling and monitoring
- Impact: 5M+ rows synced monthly with 99.9% reliability
- Technologies: SQL Server, Python, Airflow, Azure
Technical Deep Dives
- Pipeline Architecture Patterns: Coming soon
- Cost Optimization Strategies: Coming soon
- Data Quality Framework: Coming soon
Open Source Contributions
📦 paged-list
Description: Python package for efficient static pagination and listing functionality
Usage: pip install paged-list
Skills & Technologies
Core Competencies
Full-Stack Data Engineering | Batch & Streaming Pipelines | Data Integration | Data Modeling | Real-Time Analytics | API Development | BI Dashboards
Languages & Frameworks
Python, SQL, Java, Bash, R | FastAPI, Flask, Django | dbt
Data Pipelines & Orchestration
Apache Airflow | Apache Flink (real-time streaming) | Custom ETL/ELT pipelines in Python
Data Formats
Parquet, Avro, ORC, JSON
Streaming & Messaging
Kafka, AWS SQS, Azure Event Hubs, AWS Kinesis
APIs & Integrations
Built custom connectors for Facebook Ads, Google Ads, HubSpot, Keap, ClickFunnels, AdRoll, Wicked Reports, LiveIntent | Implemented OAuth 2.0 flows for secure integrations
Visualization & BI Tools
Metabase, Tableau, Looker, Power BI, Domo | Matplotlib, Plotly, Dash | Built custom dashboards for analytics & monitoring
Cloud Platforms
AWS (Lambda, S3, ECS, Fargate, ECR, EC2, Kinesis) | Azure (App Service, AKS, Event Hubs, Azure ML) | Kubernetes, Docker
CI/CD & DevOps
GitHub Actions, Azure DevOps | Automated deployments for microservices & pipelines
Monitoring & Observability
DataDog, CloudWatch | Custom alerting and observability dashboards