Jay Sheth

Sr. Software Engineer Technical Lead

Over 10 years of experience specializing in Cloud Adoption, Data Modernization, and AI/MLOps. SME in PySpark and architect of high-availability AWS ecosystems.

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Cloud & Infra

AWS (EKS, Lambda, RDS) Terraform Kubernetes Docker Helm

Data Engineering

PySpark Apache Airflow Snowflake Aurora Global DB Glue

AI & MLOps

Snowflake Cortex AI SageMaker VectorDBs RAG

Professional Experience

T. Rowe Price

Jan 2021 — Present

Sr. Software Engineer Technical Lead | Owings Mills, MD

Leading Data Modernization projects migrating on-premises applications to AWS.
Integrated Snowflake Cortex AI into ELT pipelines for automated data modeling and sentiment analysis.
Migrated single-region PostgreSQL to AWS Aurora Global database with zero downtime.
Reduced infrastructure rehydration effort by 90% by migrating PySpark jobs to AWS Managed EKS.
Architected Monte Carlo integration for enterprise-wide data observability and lineage.

Tech: Python, PySpark, Airflow (Astronomer), Snowflake, EKS, Terraform, Helm, Prometheus, Grafana

Capital One

Feb 2020 — Dec 2020

Sr. Software Developer | McLean, VA

Developed Vulnnext, a real-time serverless vulnerability system using Lambda, API Gateway, and SQS.
Created a CVSS risk engine calculator to identify severity for vulnerable assets.
Implemented high-availability patterns with fault isolation and Datadog monitoring.

Tech: AWS Lambda, DynamoDB, Snowflake, Jenkins, Datadog, Boto3

Verizon

Feb 2018 — Feb 2020

Software Developer | Tampa, FL

Boosted data validation performance by 80% through automated Python scripting.
Designed ArcPy-based scripts for geospatial validation and GDB loading.
Served as on-call engineer, authoring operational playbooks and runbooks.

Tech: Python, Oracle, ArcPy, SQL Developer, Git

Metizsoft Solutions

Mar 2015 — Nov 2015

Software Developer | Ahmedabad, India

Developed "Meditek," a comprehensive medical software suite designed to manage hospital portals[cite: 65].
Engineered robust backend logic using Python and Django to ensure system stability[cite: 66].
Built scalable RESTful APIs using Django REST Framework for efficient data handling[cite: 67].

Tech: Python, Django, Django REST Framework, HTML5/CSS3