Satish User
@satishuser5
I build high-throughput Python APIs, cloud data platforms, and React applications for healthcare and fintech.
United StatesWhat I'm looking for
At CVS Health, I modernize 100+ healthcare campaign pipelines from SAS and Teradata to Python and Google BigQuery. I build ingestion, transformation, validation, and reconciliation services that preserve complex business logic while making workflows easier to monitor and support.
I reduced BigQuery query processing time by 35% and accelerated migration velocity by about 50% through Cursor AI prompt engineering. I also scale workloads on Dataproc, establish data-quality gates, and mentor engineers through code reviews and migration standards.
At Capital One, I built serverless Python fraud-detection services on AWS Lambda, API Gateway, and DynamoDB, along with FastAPI APIs, Snowflake ingestion pipelines, and React/TypeScript tools for fraud review. My work improved deployment time by 40% and pipeline efficiency by 30% while integrating payment and fraud-scoring vendor APIs.
Across Apple, Anthem, and Fifth Third Bank, I've delivered Django, Flask, React, Docker, Kubernetes, ETL, monitoring, and analytics solutions for infrastructure, healthcare, and real-time payments. I bring an end-to-end approach from API and UI design through cloud deployment, production monitoring, data modeling, and team mentorship.
Experience
Work history, roles, and key accomplishments
Sr. Software Engineer
CVS Health
Jul 2025 - Present (1 year 2 months)
Modernizing legacy SAS/Teradata healthcare analytics to Python and Google BigQuery, migrating 100+ campaign pipelines. Architected end-to-end Python services, DAG-based orchestration, and automated data reconciliation pipelines.
Designed and deployed serverless Python services on AWS Lambda, API Gateway, and DynamoDB for real-time fraud detection. Built high-throughput FastAPI RESTful APIs, integrated third-party fraud-scoring APIs, and developed React/TypeScript front-end components.
Built and maintained a Django-based web platform for cloud telemetry data, designed Grafana dashboards on InfluxDB, and containerized services with Docker and Kubernetes. Developed React/TypeScript front-end modules and applied statistical analysis to hardware telemetry data.
Python Developer
Anthem
Jan 2017 - Oct 2018 (1 year 9 months)
Developed RESTful web services in Python, Django, and Flask for healthcare workflow automation. Built ETL scripts, automated test suites with Selenium and PyTest, and designed Cassandra schemas.
Built a full-stack application in Python 2.7 and Django on MySQL for real-time payment processing. Designed scalable RESTful APIs in Flask and migrated legacy shell scripts to Python.
Education
Degrees, certifications, and relevant coursework
Virginia International University
Master of Science, Information Systems Management
Master of Science in Information Systems Management from Virginia International University, completed in 2016.
JNTU University
Bachelor of Engineering, Electronics and Communication
Bachelor of Engineering in Electronics and Communication from JNTU University, completed in 2013.
Tech stack
Software and tools used professionally
OpenAPI
Amazon API Gateway
Snowflake
Splunk
AWS Glue
Selenium
Tableau
AWS IAM
Amazon EC2
Amazon CloudWatch
Amazon S3
Google Cloud Storage
Kubernetes
Amazon EKS
Jenkins
NumPy
Pandas
PySpark
MySQL
PostgreSQL
Cassandra
InfluxDB
Django
Bootstrap
Neo4j
Terraform
AWS CloudFormation
React
jQuery
JavaScript
Python
HTML5
Java
Flask
FastAPI
Grafana
Amazon DynamoDB
SQLAlchemy
AWS Lambda
Shell
Amazon RDS
Redux
TypeScript
pytest
Git
Docker
Google BigQuery
SQL
Pydantic
OpenAI API
Cursor
Bash
Power BI
Availability
Location
United StatesAuthorized to work in
Salary expectations
Skills
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