Satya . — Software Engineer

I’m a Senior Full Stack Python Developer with over 6+ years of experience delivering end-to-end solutions across the finance and asset management sectors. My core expertise lies in Python, Django, .NET/C#, and SQL, with hands-on experience architecting and deploying applications on AWS and Azure cloud platforms. I specialize in designing cloud-native, scalable, and secure systems that power real-time data pipelines, financial models, and risk analytics. My background spans AI/ML and Generative AI (GenAI), where I leverage advanced models to enhance automation, decision intelligence, and operational efficiency in financial workflows. Having worked across domains such as fixed income, credit risk, equity funds, and asset management, I bring both technical depth and domain fluency to every project. ☁️ Cloud Expertise: Built and deployed microservices using AWS Lambda, API Gateway, S3, EC2, CloudFormation, and RDS Designed event-driven architectures with Azure Event Hubs, Functions, Cosmos DB, and Azure SQL Automated CI/CD workflows using CodePipeline, Azure DevOps, and containerized deployments with Docker and ECS. Strong command of Python and familiar with machine learning and statistical libraries such as Scikit-learn and Pandas. Expertise in object-oriented design and programming concepts. Understanding of OpenShift platform in managing Docker Containers and Kubernetes. Knowledge of the Django/Flask Framework for the development of web applications. Solid understanding of Amazon AWS Cloud Services, including EC2, S3, EBS, ELB, Elastic IP, RDS, SNS, SQS, Glacier, IAM, VPC, Cloud Formation, Lambda, Cloud Front, Route53, Cloud Watch, AWS Code Commit, AWS Code Deploy, and Serverless Deployment. Ability to design, code, debug, report, analyze, and develop web applications using Python. Understands Agile-Scrum and waterfall methodologies, testing tools, testing automation, managing the product lifecycle, sprint planning, sprint review, and sprint retro, and prioritizing user stories.

Stackforce AI infers this person is a Fintech Full Stack Developer with expertise in cloud solutions and risk analytics.

Location: New York, New York, United States

Experience: 2 yrs 3 mos

Skills

Python
Django
Flask

Career Highlights

6+ years of experience in full stack development.
Expertise in cloud-native applications on AWS and Azure.
Strong background in financial risk analytics and automation.

Work Experience

Capital One

Senior Python - Risk Analytics & Reporting Developer (2 yrs 3 mos)

Mutual of Omaha

Python Developer (1 yr 8 mos)

Mphasis

Software Developer (2 yrs 3 mos)

Satya .

Software Engineer

New York, New York, United States2 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

6+ years of experience in full stack development.
Expertise in cloud-native applications on AWS and Azure.
Strong background in financial risk analytics and automation.

Stackforce AI infers this person is a Fintech Full Stack Developer with expertise in cloud solutions and risk analytics.

Contact

Skills

Core Skills

PythonDjangoFlask

Other Skills

RESTful APIsReactJSOAuth2AWSDockerKubernetesDatadogETLAirflowPandasSQLSQLAlchemyCeleryRedisFixed Income Portfolio Management

About

Experience

2 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

Current Experience

Capital one

Senior Python - Risk Analytics & Reporting Developer

Mar 2024 – Present · 2 yrs 3 mos · New York, United States · On-site

Developed and optimized RESTful APIs using Python and Django to facilitate secure and fast payment transactions across multiple regions.
Worked closely with frontend developers to design and implement interactive user interfaces using ReactJS, ensuring responsive design and improved user experience.
Implemented authentication and authorization protocols using OAuth2, ensuring compliance with Capital One's internal security standards.
Integrated the platform with third-party payment gateways and internal banking systems to enhance transaction reliability.
Deployed services in AWS, using Docker and Kubernetes for container orchestration and ensuring high availability.
Monitored system performance using Datadog and applied performance optimizations to enhance scalability and reduce latency.
Collaborated in Agile development cycles, regularly conducting code reviews and sharing insights on software architecture and best practices.

PythonDjangoRESTful APIsReactJSOAuth2AWS+3

Mutual of omaha

Python Developer

Jun 2022 – Feb 2024 · 1 yr 8 mos · Wilmington, Delaware, United States · Remote

Delivered high-performance tools and platforms to support the trading desks at Barclays, specializing in Risk & PnL automation, pricing tools, and data-driven insights. Refactored legacy systems into cloud-based, scalable solutions, leveraging Python, Kubernetes (K8s), and AWS. Played a key role in enhancing desk efficiency and reducing operational overhead through automation and modernization. Developed back-end services using Flask for the bank’s internal risk management tool, integrating financial models to predict and assess potential market risks.
Designed and implemented ETL pipelines using Airflow, streamlining the process of collecting, transforming, and loading market data from various sources.
Leveraged Python’s Pandas library to analyze large datasets, providing actionable insights for risk analysts and compliance officers.
Built microservices to expose risk metrics via secure APIs, enabling real-time data access for front-office applications.
Automated routine tasks like data validations and report generation using AWS Lambda, increasing operational efficiency.
Collaborated with DevOps teams to ensure continuous integration and deployment (CI/CD) using Jenkins.
Worked with SQL databases to store and retrieve large volumes of financial data, ensuring data consistency and performance optimization.

PythonKubernetesAWSFlaskETLAirflow+2

Mphasis

Software Developer

Sep 2019 – Dec 2021 · 2 yrs 3 mos

Designed and developed a secure payment gateway system using Python and Flask, ensuring high performance and PCI-DSS compliance.
Built and maintained scalable REST APIs, enabling seamless integration with third-party merchants and internal systems.
Integrated SQLAlchemy as the ORM for handling complex database queries, maintaining the system’s reliability across different data sources.
Developed asynchronous task processing systems using Celery and Redis to handle high-volume transaction requests.
Collaborated with DevOps teams to deploy services using Docker in a highly available cloud environment.
Conducted performance testing and implemented optimizations, leading to faster payment processing and reduced failure rates.
Participated in code reviews, provided mentorship to junior developers, and contributed to the continuous improvement of development processes through Agile methodologies.

PythonFlaskSQLAlchemyCeleryRedisDocker