Ketan Mali

Software Engineer

Pune, Maharashtra, India2 yrs 5 mos experience

Highly Stable

Key Highlights

Reduced cloud infrastructure costs by over $1,000/month.
Developed secure and maintainable RESTful APIs.
Implemented scalable ETL pipelines using AWS Lambda.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in SaaS solutions.

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Skills

Core Skills

DjangoAws

Other Skills

Django REST FrameworkAWS LambdaAPI ManagementDatabase DesignAmazon RedshiftApache AirflowMicroservicesAWS Cloud MigrationJWT authenticationJenkinsDeployment ManagementETL PipelinesMongoDBRedshiftS3

Experience

2 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 5 mos

Current Experience

Dataeaze systems

Software Engineer

Jan 2024 – Present · 2 yrs 5 mos

Developed RESTful Django APIs with JWT authentication, Google Authenticator login, ACL management, and DELETE operations,
improving API security and maintainability. Built a Django-based query-analysis module that captured execution metrics (query text, data scanned, execution time) and integrated with dashboards, improving API observability and reducing query spend by 25%. Led containerized deployments on EKS/ECS and set up Jenkins-based CI/CD pipelines, reducing release cycle time and improving reliability. Developed a custom DBFS log connector in Django for the Data Governance tool and integrated it with the frontend to display real-time log data and system bottlenecks. Collaborated in system design discussions, contributing to database schema design, microservice architecture, and scalability planning. Reduced cloud infrastructure costs by $1,000+/month by migrating EC2 volumes to S3, automating idle instance shutdowns with AWS Lambda, and enforcing IAM policies

Django REST FrameworkAWS LambdaAPI ManagementDatabase DesignAmazon RedshiftApache Airflow+4

Elloit systems

Project Intern

Sep 2023 – Dec 2023 · 3 mos

Developed and deployed scalable, serverless ETL pipelines using AWS Lambda services in an event-driven architecture, integrating connectors for Redshift, MongoDB, and S3 to read and store data, supporting various input types such as JSON, CSV, and Parquet.
Created a user-friendly frontend interface to facilitate ease of use for non-technical users, reducing manual work and significantly improving organizational efficiency.

AWS LambdaETL PipelinesMongoDBRedshiftS3AWS