I'm a Lead Software Engineer at Zeta Global with 6+ years of experience architecting and building scalable data lakes and big data platforms on AWS. I specialize in transforming complex data into actionable insights through high-performance, cost-efficient data workflows.
"Making sophisticated data engineering accessible to everyone"
ποΈ Creator of LakeBoost β A framework integrating Apache Hudi with AWS Glue ETL for large-scale data operations with significant cost reduction
π Featured on AWS Blog β How Zeta Global scales multi-tenant data ingestion with Amazon S3 Tables
Role: Lead Software Engineer β Big Data
Focus: Lakehouse Platform Architecture
Achievements:
- π’ Leading Lakehouse adoption across Zeta's data ecosystem
- π Processing 60-120 GB/hour | 1.3+ TB daily | 53+ TB monthly
- ποΈ Managing 10,000+ Iceberg tables in production
- β‘ Reduced data processing time from hours to minutes
- π° Achieved 4-5x cost reduction through incremental ETL| Platform | Stats |
|---|---|
| π¬ YouTube | 46,000+ Subscribers |
| πΉ Videos | 1,600+ Tutorials |
| π GitHub Repos | 300+ Projects |
| βοΈ Blog Posts | 200+ Articles |
| ποΈ Monthly Views | 124K+ |
- ποΈ Data Lakehouse Architecture β Hudi, Iceberg, Delta Lake
- βοΈ AWS Big Data Services β Glue, EMR, S3, Step Functions
- β‘ Real-time Data Pipelines β Kafka, Kinesis, Streaming
- π§ Performance Optimization β Query tuning, cost reduction
- π Hands-on Labs β End-to-end project tutorials
How Zeta Global scales multi-tenant data ingestion with Amazon S3 Tables
Architecture for handling massive scale with 10,000+ Iceberg tables and 2TB daily processing
- Experiment: S3 Tables with Incremental Loads up to 520GB
- S3 Tables: Table Maintenance Flexibility with Spark
- Stream Real-Time Data to AWS S3 Tables using Kafka
- Writing to S3 Tables Managed Iceberg Tables Using DuckDB
- Arduino based Seismic Sensor for Earthquake Detection
- Silicon Membrane Thickness Monitoring System based on Optical Sensing
- Simulation of PM2.5 Particulate Matter Pollution β NASA CT Space Grant
- A-stick: Arduino-based Smart Blind Stick Navigator
| Degree | Field | Institution |
|---|---|---|
| π M.S. | Electrical Engineering | University of Bridgeport |
| π M.S. | Computer Engineering | University of Bridgeport |
| π B.S. | Electronic Engineering | K.J. Somaiya Institute |
π Awards: Best Academic Achievement Award (4.0 GPA) β’ 3rd Place UB Hackathon β’ The Builder Award
Lakehouse Architecture β’ Apache Hudi & Iceberg β’ AWS Data Platforms β’ Spark Optimization
Multi-tenant Systems β’ Cost Optimization β’ Content Creation β’ Tech Speaking
I'm open to speaking opportunities, technical collaborations, and content partnerships around data engineering, lakehouse architecture, and AWS big data technologies.


