Hi, I'm Hannah , a Senior Python Developer with 8+ years of experience delivering data-intensive platforms across finance, healthcare, retail, and analytics. I design Python backend systems, APIs, and scalable services that support real-time and batch workflows, with strong emphasis on accuracy, auditability, and reliability. I'm passionate about translating complex requirements from traders, clinicians, and analysts into robust technical solutions. I thrive in collaborative, regulated environments and enjoy building maintainable code, rigorous testing, and data-driven insights that drive business decisions.

Hi, I'm Hannah , a Senior Python Developer with 8+ years of experience delivering data-intensive platforms across finance, healthcare, retail, and analytics. I design Python backend systems, APIs, and scalable services that support real-time and batch workflows, with strong emphasis on accuracy, auditability, and reliability. I'm passionate about translating complex requirements from traders, clinicians, and analysts into robust technical solutions. I thrive in collaborative, regulated environments and enjoy building maintainable code, rigorous testing, and data-driven insights that drive business decisions.

Available to hire

Hi, I’m Hannah , a Senior Python Developer with 8+ years of experience delivering data-intensive platforms across finance, healthcare, retail, and analytics. I design Python backend systems, APIs, and scalable services that support real-time and batch workflows, with strong emphasis on accuracy, auditability, and reliability.

I’m passionate about translating complex requirements from traders, clinicians, and analysts into robust technical solutions. I thrive in collaborative, regulated environments and enjoy building maintainable code, rigorous testing, and data-driven insights that drive business decisions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Sr. Python Developer at Goldman Sachs
February 1, 2024 - Present
Designed and evolved a real-time PnL tracking platform for equities and fixed-income desks, enabling faster intraday trading and risk decisions. Built Python-based backend services and APIs delivering aggregated PnL metrics, drilldowns, and summaries with low latency and high reliability. Integrated with internal pricing and risk platforms (SecDB / Slang) and supported data normalization with Pandas/NumPy. Implemented low-latency caching, multi-asset class valuation inputs, and ML-assisted anomaly detection to flag abnormal movements. Supported Databricks-powered analytics for post-trade insights, with AWS/Kubernetes-based deployment and containerization. Automated SEC regulatory reporting workflows and contributed to cloud-native modernization efforts.
Python Developer at Johnson & Johnson
June 1, 2022 - January 31, 2024
Designed HIPAA-compliant clinical trial compliance platform and supported secure internal dashboards. Built backend services with FastAPI and Django to ingest multi-site trial data, validate records, and flag missing or inconsistent fields. Implemented rule-based and ML-assisted data-quality checks, and developed RabbitMQ-based asynchronous pipelines for high-volume data validation workflows. Implemented MySQL and MongoDB integrations, PySpark (Databricks), and Snowflake to support hybrid analytics and regulatory reporting. Automated FDA/EMA submission package generation and established data lineage for audits. Deployed on AWS-backed environments with RBAC and audit logging.
Python Developer at Key bank
August 1, 2020 - May 31, 2022
Developed Python-based analytics and risk reporting services to automate risk, portfolio, and regulatory reporting workflows. Built Django REST APIs and integrated Tableau dashboards for near real-time visibility. Ingested and transformed data into Snowflake, using Pandas and NumPy for data validation. Automated recurring regulatory reports with Python and SQL, and supported CI/CD via Jenkins. Collaborated with Azure-based environments to ensure scalability, security, and compliance.
Python Developer at Macy’s
March 1, 2019 - August 31, 2020
Developed Django-based backend services and dashboards to monitor inventory, orders, and vendor performance. Built REST APIs and improved UI interactions via AJAX. Integrated third-party logistics and payments APIs, and optimized SQL queries for real-time dashboards. Conducted data transformations with Pandas/Matplotlib to support merchandising analytics, and implemented automated test suites and CI/CD in GCP-based environments.
Python Developer at Neon Software Services
July 1, 2017 - December 31, 2018
Designed PySpark-based ETL pipelines on Databricks, migrating legacy workflows and improving data throughput for analytics and ML. Built NLP pipelines (spaCy, NLTK) for topic extraction and sentiment analysis. Integrated Snowflake with BI dashboards and implemented Denodo-based data virtualization to unify heterogeneous data sources. Automated data quality checks and supported Agile sprints with cross-functional teams.

Education

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Qualifications

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Industry Experience

Financial Services, Healthcare, Retail, Software & Internet, Professional Services