Shama Manjunath
I am a data professional and software engineer with 6+ years of experience delivering robust, scalable, and secure web applications.
About
I am a data professional and software engineer with 6+ years of experience delivering robust, scalable, and secure web applications. I specialize in testing, data engineering, Python and Django, and have hands-on experience with AWS, Docker, Kubernetes, and real-time data pipelines in the financial domain. I thrive on turning complex business requirements into reliable, automated solutions and enjoy mentoring teams to deliver high-quality software.
In my roles across consulting and product development, I’ve driven automation, platform migrations, and data-driven insights—from migrating legacy scripts to the cloud to building end-to-end token creation and document digitization workflows. I’m passionate about performance, quality assurance, and delivering measurable business impact through technology.
- Joined November 2025
Industry experience
- Software & Internet
- Financial Services
- Professional Services
Work experience· 4 roles
Containerized scripts with Docker, automated CI/CD via Bamboo, and version control/PR reviews with GitLab. Migrated hundreds of legacy scripts from NFS to AWS Cloud and deployed on Kubernetes with Grafana-based log monitoring. Developed a DynamoDB accelerator script to streamline table creation, data insertion, and querying, with unit tests using boto3 and Moto.
Demonstrated Snowflake platform capabilities with advanced data ingestion, AI-driven document interpretation, and integration with language models for predictive analytics, including real-time analytics and cross-dataset correlations.
Contributed to a Weekly Burst Process in a Hyper-Personalised Engine on AWS, leveraging AWS Glue and PySpark for data integration and transformation. Led the design and deployment of a token creation application to automate matching processes, significantly reducing manual workload by 90%. Developed a document digitisation project using Python, OCR, NLP, and Flask-based API interactions, achieving ~80% accuracy, and evaluated OCR platforms for potential migration and cost savings.
Education
Certifications and awards
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