AARON
RAHMAN
📍 Plano, TX | ✉️ aaronrahman@gmail.com
< WHO I AM />
ABOUT ME
Lead Data Engineer with 9+ years of experience building scalable, cloud-native data solutions across healthcare, finance, and SaaS domains.
Expert in designing end-to-end data pipelines, real-time streaming architectures, and modern lakehouse platforms using AWS, Azure, Snowflake, and Databricks. Strong leader who mentors engineers and drives performance optimization and cost efficiency.
KEY ACHIEVEMENTS
Data Latency Reduction
via Kafka + Spark Structured Streaming
Pipeline Reliability Boost
via Airflow, dbt & AWS Glue ELT frameworks
Query Performance Gain
via Snowflake & Databricks lakehouse optimization
Infrastructure Cost Cut
via on-prem → cloud migration initiatives
"Building data systems that don't just process data — they create reliable, observable, governed foundations that empower entire organizations to make better decisions."
< PROFESSIONAL JOURNEY />
CAREER TIMELINE
9+ years engineering data solutions across healthcare, finance & SaaS
Lead Data Engineer
@ Aptask (Contractor)
- Led a team of 4–8 engineers on cloud-native platforms across AWS & Azure
- Real-time streaming with Kafka + Spark, cutting data latency by 60%+
- Enterprise ELT frameworks with Airflow, dbt & AWS Glue → +40% reliability
- Snowflake & Databricks lakehouse optimizations → +30–50% query performance
- Cloud migrations cutting infrastructure costs by 30%+
Senior Data Engineer
@ Lark Health
- Scalable batch & real-time pipelines with Spark, Kafka, Azure Data Factory
- Data models (Star Schema, Snowflake Schema, Data Vault) for enterprise analytics
- ERP, financial & operational system integrations into cloud data platforms
- Automated pipelines via Airflow & dbt improving workflow efficiency
- Snowflake & Azure Synapse migrations for enhanced scalability
ETL & Data Warehouse Engineer
@ CareCloud
- ETL pipelines in SQL, Python & SSIS for enterprise data warehouses
- Designed & optimized data warehouse schemas and data marts for BI
- Ingestion pipelines for structured & semi-structured data sources
- Data validation, cleansing & reconciliation improving accuracy
- ETL optimization through indexing, partitioning & query tuning
EDUCATION
Bachelor In Computer Science
< TECHNICAL ARSENAL />
SKILLS & EXPERTISE
Full-stack data engineering capabilities across the modern cloud data stack
Languages & Query
Big Data & Streaming
Cloud Platforms
Data Warehousing
Orchestration & ELT
Governance & Quality
◈ DATA ARCHITECTURE PATTERNS ◈
< LET'S CONNECT />
GET IN TOUCH
Open to Lead Data Engineer roles and senior-level opportunities. Let's build something remarkable together.