AI & DATA
ENGINEER
Shipping dependable CDC platforms, governed warehouses, and latency-tuned RAG services for finance-scale workloads across GCP + AWS.
DATA ENGINEERING
GAINS SHIPPED
CDC PIPELINES,
WAREHOUSE OPTIMIZATION
RAG SYSTEMS,
AI INTEGRATION
About
Building dependable AI & data platforms for finance-scale workloads.
I align data engineering, MLOps, and governance so product and ops teams can ask real questions without worrying about drift, latency, or compliance. From CDC bronze-silver-gold stacks to latency-optimized RAG systems, I design outcomes you can measure.
40% faster
Reporting Performance
BigQuery CDC platform with partitioning & clustering
60% faster
Onboarding Speed
Metadata-driven ETL for new data sources
70-80%
API & Query Gains
Indexing, plan analysis, and refactored SQL
50% quicker
Semantic Retrieval
Production RAG system with vector stores
Delivery Edge
What teams gain working with me
Architected CDC-driven medallion platforms in BigQuery to cut reporting latency by 40%.
Designed metadata-driven ETL onboarding that reduced new-source setup time by 60%.
Delivered production RAG pipelines that sped up semantic retrieval by 50%.
4.2+ YEARS OF
EXPERIENCE
Aug 2024 – Present
Harmony Data Integration Technology Pvt. Ltd.
Architected CDC-based Bronze–Silver–Gold data platform in BigQuery, improving reporting performance by 40% and reducing warehouse costs through partitioning and clustering strategies
Designed metadata-driven ETL framework enabling scalable schema evolution and accelerating onboarding of new data sources by 60%
Developed idempotent ingestion pipelines in AlloyDB and implemented CI/CD workflows for automated testing and deployment
Optimized complex SQL workloads and warehouse schemas, reducing downstream API latency by 30% for product-facing analytics services
Led development of production-grade RAG system integrating vector embeddings and LLM APIs, reducing semantic retrieval latency by 50%
Jul 2022 – Aug 2024
Priority Technology Holdings, Inc.
Led database and warehouse performance optimization initiatives, improving API and query performance by 70–80% through indexing, execution plan analysis, and query refactoring
Owned MS SQL Server → MySQL & Snowflake migration strategy, ensuring full data reconciliation and zero critical downtime
Designed optimized reporting models and stored procedures for high-volume financial transaction systems handling sensitive payment data
Automated compliance and audit workflows using API-based integrations, improving traceability and reducing manual intervention
Jan 2022 – Jun 2022
Finxera
Automated financial reporting pipelines using Python schedulers, eliminating repetitive manual reporting tasks
Optimized complex financial analytics queries, improving execution time and reporting accuracy
Technical Skills
Cloud-native data platforms, CDC pipelines, and AI-integrated systems
Cloud Platforms
- GCP: BigQuery, Dataflow, Datastream, Cloud Run, Vertex AI, AlloyDB
- AWS: S3, Glue, Lambda, Redshift
Architecture & Engineering
- Medallion (Bronze–Silver–Gold)
- CI/CD Pipelines, CDC Pipelines
- Incremental Processing, Partitioning & Clustering
- Metadata-Driven ETL, Data Governance, Query Optimization
Databases
- BigQuery, Snowflake
- PostgreSQL, MySQL, MS SQL Server
Programming
- Python, Advanced SQL
- FastAPI, Stored Procedures
- Docker, Git
Generative AI
- RAG Pipelines, ChromaDB
- Embedding Workflows, LLM Integration
- Semantic Search Optimization
Analytics & Monitoring
- Looker, Splunk, Periscope
Key Projects
Cloud-native data platforms and AI systems delivering measurable business impact
CDC-Based Medallion Data Platform
Architected Bronze–Silver–Gold data platform in BigQuery with CDC pipelines, improving reporting performance by 40% and reducing warehouse costs through partitioning and clustering strategies.
Production-Grade RAG System
Led development of RAG system integrating vector embeddings and LLM APIs, reducing semantic retrieval latency by 50% and enabling intelligent search across structured and unstructured datasets.
Database Performance Optimization
Led database and warehouse performance optimization initiatives, improving API and query performance by 70–80% through indexing, execution plan analysis, and query refactoring.
Iconik Video Analyzer
Built a scalable, cloud-based video analysis pipeline that processes golf tournament footage with AI on GCP, aligns AI-detected shots with tournament feeds, and auto-tags metadata via Iconik APIs.
Resume
Download my complete resume to learn more about my experience, skills, and achievements in data engineering and AI.
Download Resume (PDF)Let's Connect
Specialized in designing scalable, cloud-native data platforms and AI-integrated systems. Open to collaboration and opportunities.
Get in Touch
ATS Snapshot
4.2+ years designing CDC platforms, governed warehouses, and production RAG services across regulated fintech environments.
- GCP + AWS native stacks (BigQuery, Dataflow, Vertex AI, Redshift)
- Governance-first medallion architectures, metadata-driven ETL
- RAG pipelines, vector stores, latency and cost optimizations