Intioz Shaik
Data Engineer & ETL/Analytics Specialist, Cloud
Transforming raw data into actionable insights through scalable ETL pipelines and real-time processing systems.
About & Core Expertise
Transforming complex data challenges into scalable solutions with cutting-edge engineering practices
I’m a passionate data engineer and analytics practitioner with 6 years building real-time and batch data platforms. I design scalable ETL and streaming pipelines using lakehouse patterns across finance, healthcare, and e-commerce to enable fraud detection, risk scoring, and personalized analytics.
I combine ingestion, orchestration, validation, ML scoring, and self-service dashboards on cost-aware multi-cloud infrastructure with automated CI/CD to keep complex flows reliable, observable, and actionable, and support decision-makers with timely, trusted metrics confidently while reducing cost and improving freshness.
Cloud Platforms
Big Data Processing
ETL & Orchestration
Data Warehousing
ML & Analytics
Trusted by Industry Leaders
Professional Experience
Showcasing career progression and impact at leading companies
Capital One
- Designed scalable ETL pipelines processing terabytes of transaction data
- Built Delta Lake architecture on Databricks for enhanced data reliability
- Reduced query costs by 30% through Redshift optimization
- Implemented real-time fraud detection using Kafka streaming
UnitedHealth Group
- Developed HIPAA-compliant data pipelines for healthcare data
- Migrated legacy ETL to AWS Glue and Azure Data Factory
- Built comprehensive healthcare data lake on Azure platform
- Enabled ML models for disease prediction and patient analytics
Wayfair
- Implemented end-to-end ETL solutions on Google Cloud Platform
- Migrated Oracle to BigQuery reducing latency by 40%
- Built real-time data ingestion with Kafka and Pub/Sub
- Optimized data workflows for e-commerce analytics and reporting
Technical Arsenal
Comprehensive technical competencies with proven expertise across the modern data engineering stack
Programming & Scripting
Big Data & Streaming ▼
Cloud Ecosystems ▼
Data Engineering Tools ▼
Databases & Warehouses ▼
ML & Analytics ▼
DevOps & Infrastructure ▼
Visualization & BI ▼
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