Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Jessica Austin, a Python developer with 3+ years of professional experience building high-performance applications for enterprise-scale systems. I specialize in designing event-driven services, REST and GraphQL APIs, and large-scale data ingestion pipelines on AWS. I enjoy turning complex data into reliable, scalable solutions and collaborating with cross-functional teams to deliver production-ready features. My strengths include data ingestion, normalization, and workflow components to ensure data quality, consistency, and operational reliability. I have hands-on experience with AWS serverless architecture (Lambda, DynamoDB, CloudWatch, S3, Step Functions), Agile methodologies, and building robust API integrations and monitoring. I’m always eager to learn new technologies and apply them to solve real business problems.…Hi, I’m Jessica Austin, a Python developer with 3+ years of professional experience building high-performance applications for enterprise-scale systems. I specialize in designing event-driven services, REST and GraphQL APIs, and large-scale data ingestion pipelines on AWS. I enjoy turning complex data into reliable, scalable solutions and collaborating with cross-functional teams to deliver production-ready features. My strengths include data ingestion, normalization, and workflow components to ensure data quality, consistency, and operational reliability. I have hands-on experience with AWS serverless architecture (Lambda, DynamoDB, CloudWatch, S3, Step Functions), Agile methodologies, and building robust API integrations and monitoring. I’m always eager to learn new technologies and apply them to solve real business problems.

Jessica Austin

Web Developer, Programmer, Full Stack Developer, +3





Hi, I’m Jessica Austin, a Python developer with 3+ years of professional experience building high-performance applications for enterprise-scale systems. I specialize in designing event-driven services, REST and GraphQL APIs, and large-scale data ingestion pipelines on AWS. I enjoy turning complex data into reliable, scalable solutions and collaborating with cross-functional teams to deliver production-ready features. My strengths include data ingestion, normalization, and workflow components to ensure data quality, consistency, and operational reliability. I have hands-on experience with AWS serverless architecture (Lambda, DynamoDB, CloudWatch, S3, Step Functions), Agile methodologies, and building robust API integrations and monitoring. I’m always eager to learn new technologies and apply them to solve real business problems.…Hi, I’m Jessica Austin, a Python developer with 3+ years of professional experience building high-performance applications for enterprise-scale systems. I specialize in designing event-driven services, REST and GraphQL APIs, and large-scale data ingestion pipelines on AWS. I enjoy turning complex data into reliable, scalable solutions and collaborating with cross-functional teams to deliver production-ready features. My strengths include data ingestion, normalization, and workflow components to ensure data quality, consistency, and operational reliability. I have hands-on experience with AWS serverless architecture (Lambda, DynamoDB, CloudWatch, S3, Step Functions), Agile methodologies, and building robust API integrations and monitoring. I’m always eager to learn new technologies and apply them to solve real business problems.

Available to hire

Hi, I’m Jessica Austin, a Python developer with 3+ years of professional experience building high-performance applications for enterprise-scale systems. I specialize in designing event-driven services, REST and GraphQL APIs, and large-scale data ingestion pipelines on AWS. I enjoy turning complex data into reliable, scalable solutions and collaborating with cross-functional teams to deliver production-ready features.

My strengths include data ingestion, normalization, and workflow components to ensure data quality, consistency, and operational reliability. I have hands-on experience with AWS serverless architecture (Lambda, DynamoDB, CloudWatch, S3, Step Functions), Agile methodologies, and building robust API integrations and monitoring. I’m always eager to learn new technologies and apply them to solve real business problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Software Engineer at Kroger, USA

June 1, 2025 - Present

Designed and implemented large-scale Python-based data ingestion pipelines automating extraction, normalization, and transformation of multi-source enterprise datasets, enabling high throughput and low latency across AWS Lambda functions. Built and enhanced index product capabilities using Python and cloud-native services, automating workflows and validation checks. Developed RESTful and GraphQL APIs for seamless data service integration, with robust exception handling and monitoring. Implemented event-driven processing in AWS using Lambda, DynamoDB, and CloudWatch for real-time operations. Created automated data validation scripts to verify accuracy and completeness of large datasets before ingestion. Developed asynchronous Python modules to support concurrent workflow tasks and optimize resource usage.

Python Developer at Adobe, India

October 1, 2021 - July 1, 2023

Analyzed digital marketing performance data across Adobe Experience Cloud to optimize attribution models, improving ROI visibility for marketing stakeholders. Developed Python-based ingestion and normalization pipelines for large-scale financial datasets, ensuring accurate preprocessing for predictive analytics and reporting. Implemented scalable Python modules to support index product capabilities, enabling automated processing of financial events and integration with enterprise banking platforms. Designed and built REST and GraphQL APIs in Python to expose financial data services to internal applications, with robust exception management and data validation. Built Python workflows for credit risk scoring, customer segmentation, and loan eligibility prediction, leveraging historical transaction data. Created automated ETL pipelines to extract, cleanse, and transform banking datasets from SQL Server and Oracle databases, supporting downstream ML/analytics. Implemented validation framew

Software Developer at Energizer, India

March 1, 2020 - September 1, 2021

Evaluated merchant transaction datasets using SQL to identify growth patterns and churn indicators, driving a 15% improvement in merchant retention. Built automation scripts using Python and Beautiful Soup to scrape data from social networks and websites. Exchanged data with SQL and MongoDB, and conducted Big Data analytics using Hadoop MapReduce. Generated data-driven reports and visualizations in Tableau. Developed front-end and back-end components with Django, including REST APIs, and optimized Django ORM to speed up search indexes. Designed a dashboard control panel for customers and administrators, and implemented PostgreSQL MVCC to improve responsiveness.

Software Engineer at Kroger

June 1, 2025 - Present

Designed and implemented large-scale Python-based data ingestion pipelines that automated extraction, normalization, and transformation of multi-source datasets across AWS Lambda, DynamoDB, and CloudWatch, achieving high throughput and low latency. Built and enhanced index product capabilities using Python and cloud-native services, automating key workflows and data validation checks. Developed and deployed RESTful and GraphQL APIs to enable seamless integration of data services with internal applications, incorporating robust exception handling and monitoring. Implemented event-driven processing in AWS with Lambda, DynamoDB, and CloudWatch for real-time data processing, ensuring reliability and quick error recovery across critical workflows. Created automated data validation scripts to verify accuracy, consistency, and completeness before ingestion. Developed asynchronous Python modules for concurrent workflow tasks to optimize resource usage and execution time.

Python developer at Adobe

October 1, 2021 - July 1, 2023

Analyzed digital marketing performance data across Adobe Experience Cloud to optimize attribution models, improving ROI visibility for Marketing stakeholders. Developed Python-based ingestion and normalization pipelines for large-scale financial datasets (transactions, credit, accounts), enabling accurate preprocessing for predictive analytics. Implemented scalable modules to support index product capabilities and automate processing of financial events for enterprise banking platforms. Designed REST and GraphQL APIs to expose financial data services, with robust exception handling and data validation for high compliance. Built workflows for credit risk scoring, customer segmentation, and loan eligibility, leveraging historical transaction data. Created automated ETL pipelines to extract, cleanse, and transform banking datasets from SQL Server and Oracle, supporting downstream ML and analytics. Implemented AWS Lambda/DynamoDB-based event-driven processing to ensure near real-time data

Software Developer at Energizer

March 1, 2020 - September 1, 2021

Evaluated merchant transaction data using SQL to identify growth patterns and churn indicators, enabling a 15% improvement in merchant retention strategies for Fintech operations. Built automation scripts to scrape data from social networks and other websites using Python. Exchanged data with SQL and NoSQL databases such as MongoDB. Conducted Big Data analytics using Hadoop MapReduce. Generated data-driven reports and data visualizations using Tableau. Designed and developed frontend and backend of the application using Django; implemented UI with HTML, CSS, and JavaScript. Developed Django-based web services for processing JSON and interfacing with the data layer. Applied TDD for feature development. Increased the speed of pre-existing search indexes through Django ORM optimizations. Managed dashboards for customers and Administrators. Implemented user authentication using Django and PostgreSQL, leveraging MVCC for efficient querying.