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Building production data platforms on AWS and Azure. Currently pursuing MS Computer Software Engineering at Northeastern, exploring the intersection of classic data engineering and GenAI.
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I'm a Data Engineer with 3+ years of experience designing scalable data pipelines across AWS and Azure. My work has ranged from real-time streaming systems processing 1M+ events per week to enterprise ETL platforms handling 50M+ records monthly at Chevron.
Currently exploring where classic data engineering meets modern AI — building RAG systems, LLM-powered data tools, and agentic workflows. Long-term I'm heading toward ML engineering, with data infrastructure as the foundation.
EDUCATION
MS · Northeastern
Computer Software Engineering
EXPERIENCE
3+ Years
Data Engineering
LOCATION
Boston, MA
Open to relocate
STATUS
Open to Roles
Data / AI / Analytics Eng
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SEP 2025 – DEC 2025
GymIn Inc · Delaware, USA
JUN 2021 – DEC 2023
LTIMindtree (Chevron account) · Mumbai, India
AUG 2019 – JAN 2020
TechSkills IT · Mumbai, India
DEC 2018 – JAN 2019
Bhaktivedanta Hospital · Mumbai, India
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CDC from Postgres + S3 landing in Delta Lake, transformed with dbt into a star schema, orchestrated end-to-end with Airflow.
Retrieval-augmented QA over healthcare insurance PDFs with chunk-level citation verification. Bulk document ingestion via Streamlit admin UI.
Multi-format document + web QA system. Benchmarked RAG vs non-RAG using BLEU and precision metrics to prove measurable accuracy improvements.
RAG-based financial QA integrating real-time stock and news data. Fine-tuned GPT-4o with LoRA, deployed on GCP with MLflow tracking and drift detection.
Two portfolio dashboards: $54M paid media analytics across 3 platforms and a 3.36M-crash vehicle collision warehouse across 4 US cities.
End-to-end warehouse project ingesting 3M+ collision records across 4 US cities into a Snowflake star schema with SCD Type 2.
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Snowflake Platform Certification
Academy Accreditation
Professional Certificate
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Open to Data Engineering, Analytics Engineering, and AI Engineering roles. Always happy to chat about pipelines, LLMs, or hiking spots.